344 Lead Data Architect jobs in the United Arab Emirates

Company Overview Voted #1 EHR by PC Mag, WRS Health delivers a fully integrated cloud based EMR and practice management solutions to its clients.

We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination and billing.

Job Purpose and Role WRS Health is seeking a hands-on and strategic Director of Data Architecture to lead our data platform initiatives on Amazon Web Services (AWS) with a strong emphasis on healthcare data, data lake strategy, and AI enablement.

You will architect and manage scalable, secure, and high-performance data systems that support both traditional analytics and modern ML workloads, including embedding models and vectorized data retrieval.

• Key Responsibilities : Strategic Data Platform Leadership Define and implement an enterprise-wide data architecture strategy that supports interoperability, AI / ML readiness, and regulatory compliance.

Lead the evolution of our AWS-based data lake architecture, supporting structured, semi-structured, and unstructured data types—especially FHIR-formatted JSON healthcare data.

Cloud Data Lake & Storage Optimization Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation.

Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files.

Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques.

AI / ML Enablement and Vector Infrastructure Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.

Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access.

Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.

Healthcare Data Architecture & Interoperability Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources.

Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.

Implement data normalization and enrichment pipelines for use in both clinical and operational contexts.

Security, Compliance & Governance Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies.

Implement and manage data access controls, audit logging, and role-based security models across AWS environments.

Oversee data governance including lineage, cataloging, and stewardship with tools such as AWS Glue Data Catalog, Lake Formation, or third-party platforms.

Team Leadership & Cross-Functional Collaboration Build and lead a high-performing team of data architects and engineers.

Work closely with stakeholders from engineering, data science, product, and compliance teams to deliver data initiatives.

Promote data literacy and foster a culture of innovation and continuous improvement.

8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.

Proven experience architecting AWS-based data lakes and analytics pipelines.

Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.

Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions.

Hands-on experience with Amazon S3, Mountpoint for S3, and optimizing S3-based workloads for performance and cost.

Strong background in data security, encryption, access control, and compliance frameworks (HIPAA, HITRUST).

Preferred Qualifications AWS certifications (e.g., AWS Certified Big Data or Data Analytics – Specialty).

Familiarity with open-source vector databases (e.g., FAISS, Weaviate) and MLOps pipelines.

Experience in clinical systems integration, claims processing, or population health analytics.

This is an independent contractor position.

Job Type : Full-time Location : Remote Hours : Available during standard US business hours (9am-5pm EST or 8 : 30am-4 : 30pm EST) This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure proper operations of the department.

Powered by JazzHR

Company Overview Voted #1 EHR by PC Mag, WRS Health delivers a fully integrated cloud based EMR and practice management solutions to its clients.

We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination and billing.

Job Purpose and Role WRS Health is seeking a hands-on and strategic Director of Data Architecture to lead our data platform initiatives on Amazon Web Services (AWS) with a strong emphasis on healthcare data, data lake strategy, and AI enablement.

You will architect and manage scalable, secure, and high-performance data systems that support both traditional analytics and modern ML workloads, including embedding models and vectorized data retrieval.

• Key Responsibilities : Strategic Data Platform Leadership Define and implement an enterprise-wide data architecture strategy that supports interoperability, AI / ML readiness, and regulatory compliance.

Lead the evolution of our AWS-based data lake architecture, supporting structured, semi-structured, and unstructured data types—especially FHIR-formatted JSON healthcare data.

Cloud Data Lake & Storage Optimization Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation.

Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files.

Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques.

AI / ML Enablement and Vector Infrastructure Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.

Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access.

Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.

Healthcare Data Architecture & Interoperability Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources.

Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.

Implement data normalization and enrichment pipelines for use in both clinical and operational contexts.

Security, Compliance & Governance Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies.

Implement and manage data access controls, audit logging, and role-based security models across AWS environments.

Oversee data governance including lineage, cataloging, and stewardship with tools such as AWS Glue Data Catalog, Lake Formation, or third-party platforms.

Team Leadership & Cross-Functional Collaboration Build and lead a high-performing team of data architects and engineers.

Work closely with stakeholders from engineering, data science, product, and compliance teams to deliver data initiatives.

Promote data literacy and foster a culture of innovation and continuous improvement.

8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.

Proven experience architecting AWS-based data lakes and analytics pipelines.

Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.

Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions.

Hands-on experience with Amazon S3, Mountpoint for S3, and optimizing S3-based workloads for performance and cost.

Strong background in data security, encryption, access control, and compliance frameworks (HIPAA, HITRUST).

Preferred Qualifications AWS certifications (e.g., AWS Certified Big Data or Data Analytics – Specialty).

Familiarity with open-source vector databases (e.g., FAISS, Weaviate) and MLOps pipelines.

Experience in clinical systems integration, claims processing, or population health analytics.

This is an independent contractor position.

Job Type : Full-time Location : Remote Hours : Available during standard US business hours (9am-5pm EST or 8 : 30am-4 : 30pm EST) This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure proper operations of the department.

Powered by JazzHR

Company Overview Voted #1 EHR by PC Mag, WRS Health delivers a fully integrated cloud based EMR and practice management solutions to its clients.

We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination and billing.

Job Purpose and Role WRS Health is seeking a hands-on and strategic Director of Data Architecture to lead our data platform initiatives on Amazon Web Services (AWS) with a strong emphasis on healthcare data, data lake strategy, and AI enablement.

You will architect and manage scalable, secure, and high-performance data systems that support both traditional analytics and modern ML workloads, including embedding models and vectorized data retrieval.

• Key Responsibilities : Strategic Data Platform Leadership Define and implement an enterprise-wide data architecture strategy that supports interoperability, AI / ML readiness, and regulatory compliance.

Lead the evolution of our AWS-based data lake architecture, supporting structured, semi-structured, and unstructured data types—especially FHIR-formatted JSON healthcare data.

Cloud Data Lake & Storage Optimization Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation.

Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files.

Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques.

AI / ML Enablement and Vector Infrastructure Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.

Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access.

Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.

Healthcare Data Architecture & Interoperability Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources.

Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.

Implement data normalization and enrichment pipelines for use in both clinical and operational contexts.

Security, Compliance & Governance Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies.

Implement and manage data access controls, audit logging, and role-based security models across AWS environments.

Oversee data governance including lineage, cataloging, and stewardship with tools such as AWS Glue Data Catalog, Lake Formation, or third-party platforms.

Team Leadership & Cross-Functional Collaboration Build and lead a high-performing team of data architects and engineers.

Work closely with stakeholders from engineering, data science, product, and compliance teams to deliver data initiatives.

Promote data literacy and foster a culture of innovation and continuous improvement.

8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.

Proven experience architecting AWS-based data lakes and analytics pipelines.

Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.

Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions.

Hands-on experience with Amazon S3, Mountpoint for S3, and optimizing S3-based workloads for performance and cost.

Strong background in data security, encryption, access control, and compliance frameworks (HIPAA, HITRUST).

Preferred Qualifications AWS certifications (e.g., AWS Certified Big Data or Data Analytics – Specialty).

Familiarity with open-source vector databases (e.g., FAISS, Weaviate) and MLOps pipelines.

Experience in clinical systems integration, claims processing, or population health analytics.

This is an independent contractor position.

Job Type : Full-time Location : Remote Hours : Available during standard US business hours (9am-5pm EST or 8 : 30am-4 : 30pm EST) This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure proper operations of the department.

Powered by JazzHR

Company Overview Voted #1 EHR by PC Mag, WRS Health delivers a fully integrated cloud based EMR and practice management solutions to its clients.

We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination and billing.

Job Purpose and Role WRS Health is seeking a hands-on and strategic Director of Data Architecture to lead our data platform initiatives on Amazon Web Services (AWS) with a strong emphasis on healthcare data, data lake strategy, and AI enablement.

You will architect and manage scalable, secure, and high-performance data systems that support both traditional analytics and modern ML workloads, including embedding models and vectorized data retrieval.

• Key Responsibilities : Strategic Data Platform Leadership Define and implement an enterprise-wide data architecture strategy that supports interoperability, AI / ML readiness, and regulatory compliance.

Lead the evolution of our AWS-based data lake architecture, supporting structured, semi-structured, and unstructured data types—especially FHIR-formatted JSON healthcare data.

Cloud Data Lake & Storage Optimization Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation.

Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files.

Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques.

AI / ML Enablement and Vector Infrastructure Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.

Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access.

Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.

Healthcare Data Architecture & Interoperability Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources.

Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.

Implement data normalization and enrichment pipelines for use in both clinical and operational contexts.

Security, Compliance & Governance Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies.

Implement and manage data access controls, audit logging, and role-based security models across AWS environments.

Oversee data governance including lineage, cataloging, and stewardship with tools such as AWS Glue Data Catalog, Lake Formation, or third-party platforms.

Team Leadership & Cross-Functional Collaboration Build and lead a high-performing team of data architects and engineers.

Work closely with stakeholders from engineering, data science, product, and compliance teams to deliver data initiatives.

Promote data literacy and foster a culture of innovation and continuous improvement.

8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.

Proven experience architecting AWS-based data lakes and analytics pipelines.

Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.

Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions.

Hands-on experience with Amazon S3, Mountpoint for S3, and optimizing S3-based workloads for performance and cost.

Strong background in data security, encryption, access control, and compliance frameworks (HIPAA, HITRUST).

Preferred Qualifications AWS certifications (e.g., AWS Certified Big Data or Data Analytics – Specialty).

Familiarity with open-source vector databases (e.g., FAISS, Weaviate) and MLOps pipelines.

Experience in clinical systems integration, claims processing, or population health analytics.

This is an independent contractor position.

Job Type : Full-time Location : Remote Hours : Available during standard US business hours (9am-5pm EST or 8 : 30am-4 : 30pm EST) This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure proper operations of the department.

Powered by JazzHR

Direct message the job poster from Thomas Ren Associates Ltd

A leading investment institution is seeking a Data Engineering and Operations Lead to drive the development and operation of a modern, scalable enterprise data platform. This senior leadership role is critical to enabling advanced analytics, AI, and business intelligence across investment and operational domains.

You will bring a strategic mindset, deep technical expertise, and a strong focus on data integrity and operational excellence.

Key Responsibilities

Strategic Leadership

• Define and execute the data engineering vision aligned with business and analytics goals.
• Advise senior leadership and collaborate with data science and governance teams to drive innovation.
• Represent the function in digital transformation and data modernization initiatives.

Architecture & Platform Engineering

• Design and manage a cloud-native architecture using Snowflake , Azure , and Databricks .
• Implement medallion architecture and data lakehouse patterns.
• Ensure secure, modular, and interoperable data systems.

Data Integration & Mastering

• Lead ingestion and harmonization of market, partner, and third-party data.
• Establish frameworks for data mastering, hierarchy management, and lifecycle observability.

Advanced Data Engineering

• Build complex transformation workflows using dbt , Databricks , and Python .
• Enable enriched data layers for analytics, AI, and reporting.

Governance & Observability

• Embed data quality, lineage, and privacy into engineering workflows.
• Utilize tools like Collibra , Purview , Monte Carlo , and Great Expectations .

Business Intelligence & AI Enablement

• Develop semantic models and governed datasets in Power BI .
• Support AI systems and retrieval-augmented generation (RAG) pipelines.

Required

Education

• Bachelor's or Master's in Computer Science, Data Engineering, Information Systems, or related field.

Experience

• 10+ years in enterprise data engineering, with 5+ years in leadership.
• Strong background in financial services or investment management.
• Proven experience with market data, GP data, and external vendor feeds.
• Deep expertise in Snowflake , Azure Data Services , and Databricks .

Technical Skills

• Expert in SQL and Python for pipeline development.
• Advanced orchestration with dbt , Airflow , or Azure Data Factory .
• Experience with semantic modeling, data mastering, and AI-ready data services.
• Familiarity with Power BI , metadata enrichment, and MLOps practices.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology and Finance

Referrals increase your chances of interviewing at Thomas Ren Associates Ltd by 2x

Abu Dhabi Emirate, United Arab Emirates 3 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 5 days ago

Abu Dhabi Emirate, United Arab Emirates 2 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 days ago

Abu Dhabi Emirate, United Arab Emirates 3 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 2 months ago

Abu Dhabi Emirate, United Arab Emirates 2 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 8 months ago

Abu Dhabi Emirate, United Arab Emirates 3 weeks ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 3 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 year ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 2 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 2 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 4 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 6 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 2 months ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 6 months ago

Abu Dhabi Emirate, United Arab Emirates 6 days ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates 1 month ago

Abu Dhabi Emirate, United Arab Emirates 2 weeks ago

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Direct message the job poster from PureCS

Now Hiring: Lead Data Architect | Join the Innovation Team at PureCS

PureCS is a dedicated technology and innovation unit under PureHealth, the largest integrated healthcare platform in the Middle East. We are on a mission to build cutting-edge digital infrastructure that drives the future of healthcare across the region. As part of our ambitious growth, we are looking for a highly experienced Lead Data Architect to shape our enterprise data architecture and drive innovation across cloud and on-prem environments.

About the Role:

This is a strategic leadership role focused on defining and evolving our enterprise data architecture to support scalable, trusted, and analytics-ready data solutions. You will play a central role in enabling data-driven decision making across the organization by designing architecture that supports AI, machine learning, business intelligence, and operational insights.

Key Responsibilities:

• Lead the design and evolution of scalable data architecture across raw, curated, and semantic layers
• Define logical and physical data models with a focus on integrity, lineage, and reusability
• Architect data pipelines across batch, streaming, and near real time platforms using tools such as dbt, Kafka, Oracle GoldenGate, and Airbyte
• Design hybrid data infrastructure supporting both on-premise and cloud-based solutions
• Embed data governance, metadata management, and lineage into architecture frameworks
• Ensure RBAC, observability, and automation are integrated into all design principles
• Collaborate across Data Engineering, CDO, AI, BI, and Business teams to deliver trusted and governed data products
• Mentor engineering teams and establish best practices around architecture and delivery

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field
• Minimum 10 years of experience in enterprise data architecture, modeling, and governance
• Strong knowledge of hybrid data platforms and batch/stream processing architectures
• Hands-on experience with technologies including Oracle, SQL Server, SingleStore, Kafka, Hadoop, Kubernetes, and Parquet
• Experience working with healthcare data standards such as FHIR, OMOP, Cerner, Epic, and MDR
• Proficiency in data governance and quality tools such as OvalEdge and YData
• Familiarity with Azure DevOps, Docker, Kubernetes, and CI/CD frameworks for DataOps and MLOps

Why Join PureCS:

At PureCS, you will be part of a high-impact team at the forefront of healthcare transformation. You will work in a fast-paced and collaborative environment with some of the brightest minds in data, engineering, and AI. We invest in cutting-edge tools and support continuous learning to help you stay ahead of the curve. Your work will contribute directly to building smarter, more accessible, and efficient healthcare systems.

Diversity and Inclusion:

We are an equal opportunity employer and believe diversity strengthens innovation. We welcome applicants from all backgrounds, experiences, and perspectives to apply.

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries IT Services and IT Consulting and Hospitals and Health Care

Referrals increase your chances of interviewing at PureCS by 2x

Get notified about new Data Architect jobs in Dubai, United Arab Emirates .

Dubai, Dubai, United Arab Emirates 43 minutes ago

Dubai, Dubai, United Arab Emirates 10 hours ago

We're unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.

Company Overview Voted #1 EHR by PC Mag, WRS Health delivers a fully integrated cloud based EMR and practice management solutions to its clients.

We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination and billing.

Job Purpose and Role WRS Health is seeking a hands-on and strategic Director of Data Architecture to lead our data platform initiatives on Amazon Web Services (AWS) with a strong emphasis on healthcare data, data lake strategy, and AI enablement.

You will architect and manage scalable, secure, and high-performance data systems that support both traditional analytics and modern ML workloads, including embedding models and vectorized data retrieval.

• Key Responsibilities : Strategic Data Platform Leadership Define and implement an enterprise-wide data architecture strategy that supports interoperability, AI / ML readiness, and regulatory compliance.

Lead the evolution of our AWS-based data lake architecture, supporting structured, semi-structured, and unstructured data types—especially FHIR-formatted JSON healthcare data.

Cloud Data Lake & Storage Optimization Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation.

Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files.

Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques.

AI / ML Enablement and Vector Infrastructure Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.

Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access.

Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.

Healthcare Data Architecture & Interoperability Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources.

Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.

Implement data normalization and enrichment pipelines for use in both clinical and operational contexts.

Security, Compliance & Governance Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies.

Implement and manage data access controls, audit logging, and role-based security models across AWS environments.

Oversee data governance including lineage, cataloging, and stewardship with tools such as AWS Glue Data Catalog, Lake Formation, or third-party platforms.

Team Leadership & Cross-Functional Collaboration Build and lead a high-performing team of data architects and engineers.

Work closely with stakeholders from engineering, data science, product, and compliance teams to deliver data initiatives.

Promote data literacy and foster a culture of innovation and continuous improvement.

8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.

Proven experience architecting AWS-based data lakes and analytics pipelines.

Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.

Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions.

Hands-on experience with Amazon S3, Mountpoint for S3, and optimizing S3-based workloads for performance and cost.

Strong background in data security, encryption, access control, and compliance frameworks (HIPAA, HITRUST).

Preferred Qualifications AWS certifications (e.g., AWS Certified Big Data or Data Analytics – Specialty).

Familiarity with open-source vector databases (e.g., FAISS, Weaviate) and MLOps pipelines.

Experience in clinical systems integration, claims processing, or population health analytics.

This is an independent contractor position.

Job Type : Full-time Location : Remote Hours : Available during standard US business hours (9am-5pm EST or 8 : 30am-4 : 30pm EST) This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure proper operations of the department.

Powered by JazzHR

Company Overview Voted #1 EHR by PC Mag, WRS Health delivers a fully integrated cloud based EMR and practice management solutions to its clients.

We bring solutions to physicians by providing constant enhancement of our products and services including EHR, practice management, marketing, patient coordination and billing.

Job Purpose and Role WRS Health is seeking a hands-on and strategic Director of Data Architecture to lead our data platform initiatives on Amazon Web Services (AWS) with a strong emphasis on healthcare data, data lake strategy, and AI enablement.

You will architect and manage scalable, secure, and high-performance data systems that support both traditional analytics and modern ML workloads, including embedding models and vectorized data retrieval.

• Key Responsibilities : Strategic Data Platform Leadership Define and implement an enterprise-wide data architecture strategy that supports interoperability, AI / ML readiness, and regulatory compliance.

Lead the evolution of our AWS-based data lake architecture, supporting structured, semi-structured, and unstructured data types—especially FHIR-formatted JSON healthcare data.

Cloud Data Lake & Storage Optimization Design and maintain scalable, secure, and cost-effective data lakes using Amazon S3, AWS Glue, Athena, Redshift, and Lake Formation.

Leverage Mountpoint for S3 to enable high-performance, POSIX-compliant access to S3 objects, including vectorized data files.

Optimize data storage and retrieval strategies for performance and cost-efficiency, including partitioning, file formats (e.g., Parquet, ORC), and compression techniques.

AI / ML Enablement and Vector Infrastructure Collaborate with data science teams to implement embedding models, vectorization pipelines, and real-time inference architectures.

Design and manage vector storage systems (e.g., S3-based, FAISS, Pinecone, or Amazon OpenSearch) to support semantic search, retrieval-augmented generation (RAG), and intelligent data access.

Ensure vectorized data pipelines are aligned with model training, evaluation, and deployment strategies.

Healthcare Data Architecture & Interoperability Architect systems to ingest, process, and store FHIR-compliant JSON data from EHRs, APIs, and HL7 sources.

Ensure conformance with healthcare interoperability standards and optimize for queryability and downstream analytics.

Implement data normalization and enrichment pipelines for use in both clinical and operational contexts.

Security, Compliance & Governance Lead efforts to ensure data security at rest and in transit using AWS-native encryption, IAM, VPC controls, and bucket policies.

Implement and manage data access controls, audit logging, and role-based security models across AWS environments.

Oversee data governance including lineage, cataloging, and stewardship with tools such as AWS Glue Data Catalog, Lake Formation, or third-party platforms.

Team Leadership & Cross-Functional Collaboration Build and lead a high-performing team of data architects and engineers.

Work closely with stakeholders from engineering, data science, product, and compliance teams to deliver data initiatives.

Promote data literacy and foster a culture of innovation and continuous improvement.

8–12+ years of experience in data architecture with 3–5 years in a technical leadership role.

Proven experience architecting AWS-based data lakes and analytics pipelines.

Deep understanding of healthcare data standards (FHIR, HL7) and working with FHIR JSON objects in large-scale systems.

Expertise with embedding and vectorization models, semantic search, and managing vector storage solutions.

Hands-on experience with Amazon S3, Mountpoint for S3, and optimizing S3-based workloads for performance and cost.

Strong background in data security, encryption, access control, and compliance frameworks (HIPAA, HITRUST).

Preferred Qualifications AWS certifications (e.g., AWS Certified Big Data or Data Analytics – Specialty).

Familiarity with open-source vector databases (e.g., FAISS, Weaviate) and MLOps pipelines.

Experience in clinical systems integration, claims processing, or population health analytics.

This is an independent contractor position.

Job Type : Full-time Location : Remote Hours : Available during standard US business hours (9am-5pm EST or 8 : 30am-4 : 30pm EST) This job description is intended to describe the general requirements for the position. It is not a complete statement of duties, responsibilities or requirements. Other duties not listed here may be assigned as necessary to ensure proper operations of the department.

Powered by JazzHR

We are seeking a highly skilled Data Engineer to join our team. The ideal candidate will have a strong background in data engineering, with experience in Azure and Databricks.

Responsibilities:

• Design, build, and maintain large-scale data pipelines using Azure Data Factory, SQL, and Functions.
• Develop and implement data models and governance strategies to ensure data quality and integrity.
• Collaborate with cross-functional teams to integrate data into business applications.

Requirements:

• 5+ years of experience in data engineering, with a focus on Azure and Databricks.
• Proficiency in Python programming language.
• Familiarity with Power BI and other business intelligence tools.

Preferred Qualifications:

• Experience working with healthcare data.
• Azure Data Engineering certification.

We offer a competitive salary and benefits package, as well as opportunities for professional growth and development.

This is a 12-month contract position, based in Abu Dhabi. If you are a motivated and experienced data engineer looking for a new challenge, please apply today.