84 Data Architects jobs in Dubai

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We are looking for a Data Architect to define and implement enterprise data architecture, ensuring that data is treated as a strategic asset across Landmark Group. The role will focus on building scalable, secure, and future-ready data platforms that enable advanced analytics, AI/ML, and business insights to support Landmark's retail and digital transformation journey.

Key Responsibilities

• Define and own the enterprise data architecture strategy, frameworks, and governance models.
• Design and implement data platforms, data lakes, warehouses, and pipelines across cloud and on-premise environments.
• Partner with product, digital, and business teams to translate requirements into scalable data models and solutions.
• Establish data standards, metadata management, data quality, and security practices.
• Drive adoption of modern data architecture practices (data mesh, data fabric, streaming, real-time processing).
• Evaluate, recommend, and govern data technologies (Azure Data Platform, Snowflake, Databricks, Kafka, Informatica, etc.).
• Collaborate with integration, application, and analytics teams to ensure consistent and accurate data flow.
• Define KPIs for data availability, quality, performance, and compliance.
• Expertise in data modeling, data warehousing, ETL/ELT pipelines, and big data technologies.
• Strong understanding of cloud-native data platforms (Azure, AWS, GCP).
• Strategic mindset with ability to align data strategy to business priorities.
• Analytical problem-solving approach with focus on data-driven decision making.
• Strong collaboration and stakeholder management skills across technology and business.
• Knowledge of data security, governance, and regulatory compliance (GDPR, CCPA, etc.).
• Excellent communication skills to articulate data concepts to technical and non-technical audiences.

Target Background

• Bachelor's/Master's degree in Computer Science, Information Technology, Data Science, or related field.
• 8–12 years of IT experience with at least 4–6 years in data architecture roles.
• Hands-on experience with data lakes, data warehouses, and big data ecosystems (Hadoop, Spark, Databricks).
• Strong expertise in SQL, data modeling, and ETL/ELT pipelines.
• Proven experience with cloud data platforms (Azure Synapse, Snowflake, AWS Redshift, GCP BigQuery).
• Experience in large-scale retail, e-commerce, or B2C environments (preferred).
• Certifications in cloud data platforms or data architecture (preferred).

About Us-

Landmark Group

Our journey started in 1973 with a single store in Bahrain. Since then, we have grown into a global retail and hospitality group. The proud creator of 25 plus value led, own-built brands across retail, hospitality, food, and leisure.

Over the years, our UAE - based group has evolved into a comprehensive retail and hospitality entity, with over 2200 retail stores, leisure, and hospitality outlets, panning the GCC, Middle East, India, Southeast Asia, and Africa. Today, Landmark Group is one of GCC's largest omnichannel retailers and India's top home and fashion retailer.

We take immense pride in the organic growth of our retail brands, which have blossomed into household names. From Max, Splash, Babyshop, Centrepoint, Shoemart, Home Centre, Emax, Fitness First, to Fun City, to name a few, our brands span across a multitude of categories, enriching the lives of countless families over the past decade.

As a part of the Landmark Group, a renowned retail and hospitality conglomerate in the Middle East, North Africa, and India, Landmark Digital is the dynamic digital arm of Landmark Retail, serving as the cornerstone of our omnichannel business strategy.

Headquartered in Dubai, UAE, we oversee the digital operations of eight leading brands across diverse geographies, with ambitious plans for expansion into new territories and functions. Joining us means becoming a vital part of the Middle East's most significant bricks-to-clicks success story, boasting an impressive year-on-year growth rate exceeding 100%.

Comprising a talented workforce of over 700 professionals across diverse domains, Landmark Digital spearheads various functions including Enterprise and E-commerce Tech, Product Management, User Design, and MarTech, among others. With our futuristic outlook, we are committed to delivering seamless digital experiences to our customers.

Landmark Digital

At Landmark Digital, we cultivate an agile work culture , empowering you to make impactful decisions from day one within collaborative squads comprising professionals from over 20 nationalities. Additionally, our dedicated software development center in Bangalore, India, offers opportunities for incubation, design, and optimization of digital products.

Working at Landmark Digital means engaging with cutting-edge technologies , including Enterprise and E-commerce tech, headless commerce, Java Spring Boot, React Native, React frontend, and Azure Cloud solutions, providing an enriching environment for professional growth and development.

In addition to competitive remuneration and benefits , we prioritize continuous learning and growth through dedicated training and upskilling initiatives. Furthermore, our vibrant workplace culture fosters camaraderie through various team events, celebrations, and recreational amenities, ensuring a fulfilling experience both personally and professionally.

Come be a part of Landmark Digital, where innovation, collaboration, and growth converge to redefine the digital retail landscape

• Seniority level Mid-Senior level

• Employment type Full-time

• Job function Information Technology
• Industries Retail and Internet Marketplace Platforms

Referrals increase your chances of interviewing at Landmark Group by 2x

Dubai, Dubai, United Arab Emirates 20 hours ago

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

The Data Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices.

• Designing Data Architecture: Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs, while optimizing costs and meeting business requirements.


• Implementing Data Engineering Pipelines: Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency.


• Enabling Data Intelligence and Analytics: Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives.


• Supporting MLOps Practices: Collaborate with data scientists and machine learning engineers to design and implement data infrastructure and processes that support machine learning model development, deployment, and maintenance.


• Ensuring Data Security and Compliance: Implement security measures, policies, and procedures to safeguard data privacy and comply with relevant regulations.


• Data Governance and Management: Establish and enforce data governance policies and standards to ensure data quality, integrity, and accessibility.


• Collaborating with Cross-Functional Teams: Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions.


• Staying Abreast of Technological Advancements: Keep up-to-date with emerging technologies and trends in data architecture, data engineering, and MLOps to identify opportunities for improvement and innovation.


• Optimizing Data Performance: Monitor and analyze data processing performance, identify bottlenecks, and implement optimizations to enhance efficiency and scalability.


• Documentation and Knowledge Sharing: Create and maintain comprehensive documentation of data architecture, models, and processing workflows.

• Extensive experience in data architecture design and implementation.


• Strong knowledge of data engineering principles and practices.


• Expertise in data warehousing, data modelling, and data integration.


• Experience in MLOps and machine learning pipelines.


• Proficiency in SQL and data manipulation languages.


• Experience with big data platforms (including Apache Arrow, Apache Spark, Apache Iceberg, and Clickhouse) and cloud-based infrastructure on AWS.

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.


• Preferred certifications (optional):
  • AWS Cloud Data Engineer
  
  
  • AWS Machine Learning Ops Engineer
  
  
  
  

• Passion for building scalable, reliable, and secure systems in a fast-paced environment.


• Ability to translate complex technical concepts into clear, actionable insights for technical teams.


• Strong interpersonal skills with the ability to work effectively across cross-functional teams.


• Excellent problem-solving and analytical skills.

We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who's driven, collaborative, acts with ownership and delivers solid, scalable outcomes.

• Competitive salary package


• Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely


• The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence

As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance.

Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.

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Position Overview

The Data Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices.

Key Responsibilities

• Designing Data Architecture : Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs, while optimising costs and meeting business requirements.
• Implementing Data Engineering Pipelines : Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency.
• Enabling Data Intelligence and Analytics : Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives.
• Supporting MLOps Practices : Collaborate with data scientists and machine learning engineers to design and implement data infrastructure and processes that support machine learning model development, deployment, and maintenance.
• Ensuring Data Security and Compliance : Implement security measures, policies, and procedures to safeguard data privacy and comply with relevant regulations.
• Data Governance and Management : Establish and enforce data governance policies and standards to ensure data quality, integrity, and accessibility.
• Collaborating with Cross-Functional Teams : Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
• Staying Abreast of Technological Advancements : Keep up-to-date with emerging technologies and trends in data architecture, data engineering, and MLOps to identify opportunities for improvement and innovation.
• Optimising Data Performance : Monitor and analyze data processing performance, identify bottlenecks, and implement optimisations to enhance efficiency and scalability.
• Documentation and Knowledge Sharing : Create and maintain comprehensive documentation of data architecture, models, and processing workflows.

Technical Requirements

• Extensive experience in data architecture design and implementation.
• Hands-on experience with Amazon Redshift for data warehousing, query optimization, and integration with AWS analytics services.
• Strong knowledge of data engineering principles and practices.
• Expertise in data warehousing, data modelling, and data integration.
• Experience in MLOps and machine learning pipelines.
• Proficiency in SQL and data manipulation languages.
• Experience with big data platforms (including PowerBI, DBT, Databricks, MySQL, Postgres, Clickhouse, Kafka, Redis etc) and cloud-based infrastructure on AWS.

Education & Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Preferred certifications (optional) :
• AWS Machine Learning Ops Engineer

Seniority level

Seniority level

Not Applicable

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Software Development, Data Infrastructure and Analytics, and IT System Custom Software Development

Referrals increase your chances of interviewing at Boundless by 2x

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

Principal Technical Architect - Big Data

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Dubai, Dubai, United Arab Emirates 16 hours ago

Dubai, Dubai, United Arab Emirates 16 hours ago

Dubai, Dubai, United Arab Emirates 16 hours ago

Data Centre Senior Design Manager (Mechanical / Electrical Engineer)

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Senior Technical Architect - Salesforce Marketing Cloud & Data Cloud

OCI Solution Architect – Finance & Integration

Business Data & AI Analyst(Arabic speaking)

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

J-18808-Ljbffr

Manager HR - Talent Acquisition | MBA in HR

We are seeking an experienced Microsoft Fabric Data Architect with a strong background in the Consumer Packaged Goods (CPG) industry to design, build, and manage scalable data architectures leveraging Microsoft Fabric platform capabilities. You will work closely with data engineering, analytics, and BI teams, as well as business stakeholders, product owners, and other key stakeholders to implement robust data solutions that support business intelligence and advanced analytics initiatives tailored to the CPG domain.

• Design and develop scalable data architectures using Microsoft Fabric components.
• Define data modeling standards, including dimensional and normalized data models suitable for reporting and analytics in the CPG industry.
• Lead the ingestion, transformation, and integration of data from diverse sources into the Fabric environment.
• Collaborate with data engineers to build robust ETL / ELT pipelines using Synapse Pipelines or Azure Data Factory.
• Optimize data storage and query performance for large-scale analytics workloads.
• Implement data governance, security, and compliance best practices.
• Develop and maintain metadata, data dictionaries, and documentation to support data discovery and usability.
• Work closely with business stakeholders, product owners, and other relevant teams to understand data requirements and translate them into technical solutions specific to the CPG sector.
• Facilitate communication between technical teams and business units to ensure alignment of data initiatives with organizational goals.
• Monitor and troubleshoot data platform issues and provide ongoing enhancements.
• Stay updated with Microsoft Fabric platform updates and industry best practices.

• Bachelor's degree in Computer Science, Information Technology, or related field.
• 5+ years of experience in data architect role, and overall experience of 12+ years.
• Hands-on experience with Microsoft Fabric platform (Azure Synapse Analytics, Azure Data Lake Storage, Power BI Fabric).
• Strong skills in data modeling, database design, and schema optimization.
• Proficient in SQL, Spark, Python, and Power BI / DAX.
• Experience with ETL / ELT tools such as Azure Data Factory or Synapse Pipelines.
• Solid understanding of cloud data platforms and big data concepts.
• Must have experience working in the Consumer Packaged Goods (CPG) industry with a deep understanding of its data and business challenges.
• Knowledge of data governance, security, and compliance frameworks.
• Excellent communication and collaboration skills, with proven experience working cross-functionally with business and product teams.

Seniority level Executive

Employment type Full-time

Job function Information Technology

Industries IT Services and IT Consulting

Note: This posting may include additional related roles and opportunities. No boilerplate tracking or site-only notices are included.

As a Data Architect, you will be responsible for designing and maintaining scalable data models to support telecom analytics and operational systems.

This role requires a strong understanding of telecom data domains such as subscribers, call detail records (CDRs), plans, and usage metrics.

You will collaborate with architects, engineers, and business stakeholders to build models that drive customer insights, revenue assurance, and network optimization.

• Develop conceptual, logical, and physical data models aligned with telecom business needs.
• Translate telecom specific requirements, usage analytics, churn, billing, network KPIs into efficient data structures.
• Collaborate with data engineers to implement models across data warehouses and lakes.
• Ensure data consistency, traceability, and compliance across systems.
• Maintain metadata, data dictionaries, and modeling documentation.

Required Skills and Qualifications:

• 5 plus years of experience in data modeling with at least 2 years in telecom domain.
• Proficient with modeling tools like Erwin or ER Studio.
• Strong knowledge of relational and dimensional modeling techniques.
• Familiarity with telecom data sources, CDRs, OSS, BSS systems.
• Excellent analytical and communication skills.

We are looking for an experienced professional who can take on this challenging role and contribute to the growth of our organization.

About the Role:

We are seeking a talented Data Engineer Graduate to join our Corporate Service System team. As a Data Engineer Graduate, you will be responsible for designing and building data transformations efficiently and reliably for different purposes.

Key Responsibilities:

• Design and build scalable, robust, and extensible big data systems that support core products and business;
• Establish solid design and best engineering practices for engineers as well as non-technical people;
• Work with cross-functional teams to identify and implement process improvements;

Required Skills and Qualifications:

• Final year or recent graduate with a background in Software Development, Computer Science, Computer Engineering, or a related technical discipline;
• Experience in Big Data technologies (Hadoop, M/R, Hive, Spark, Metastore, Presto, Flume, Kafka, ClickHouse, Flink etc.)
• Experience with performing data analysis, data ingestion, and data integration;
• Experience with ETL (Extraction, Transformation & Loading) and architecting data systems;
• Experience with schema design, data modeling, and SQL queries;

Benefits of Working with Us:

We offer a dynamic and supportive work environment that fosters creativity and innovation. Our team is passionate about inspiring creativity and enriching life, and we strive to do great things with great people.

Our Culture:

We value diversity, inclusion, and collaboration. We believe in creating an inclusive space where employees are valued for their skills, experiences, and unique perspectives. If you share our passion for technology and innovation, and are looking for a challenging and rewarding role, please apply today!

Languages Used:

• Python
• Java
• Hadoop

We are seeking a skilled and experienced Data Architect to join our data and analytics team within a dynamic healthcare environment. This role involves designing and implementing scalable, efficient, and reliable data architectures.

• Develop and maintain data pipelines using Snowflake to support analytical and operational use cases
• Create and manage data models and schemas in Snowflake to support business intelligence initiatives
• Integrate data from various healthcare systems, including EMRs, billing systems, and third-party platforms
• Cleanse, transform, and enrich data to ensure quality and usability
• Collaborate with analysts, data scientists, and stakeholders to understand data requirements and deliver solutions
• Implement and maintain data governance, privacy, and security protocols aligned with healthcare regulations
• Maintain pipeline performance and system reliability
• Develop automated testing and validation processes to ensure data integrity
• Document data flows, architecture, and processes for transparency and future maintenance

Requirements:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field
• Strong experience working with Snowflake, including performance tuning and data modeling
• Advanced SQL development skills
• Experience working with healthcare data, including familiarity with clinical, operational, and billing datasets
• Solid understanding of data governance, data quality, and security practices in a healthcare environment

Benefits:

• Full-time employment in the IT sector
• Mid-senior level position
• A collaborative work environment

About the Role:

• This is a mid-senior level position
• The ideal candidate will have 5+ years of experience in a similar role

Get AI-powered advice on this job and more exclusive features.

Direct message the job poster from Boundless

Position Overview

The Data Architect is responsible for designing, implementing, and maintaining an organization's data architecture and strategy, ensuring that data is collected, stored, and processed efficiently and securely to support business intelligence, data analytics, and machine learning operations (MLOps) practices.

Key Responsibilities

• Designing Data Architecture : Plan and implement a robust, scalable data architecture that integrates data from various sources and supports diverse analytical needs, while optimising costs and meeting business requirements.
• Implementing Data Engineering Pipelines : Design and develop data pipelines for data extraction, transformation, and loading (ETL) processes, ensuring data quality and consistency.
• Enabling Data Intelligence and Analytics : Build and maintain data warehouses, data marts, and data lakes to support business intelligence and data analytics initiatives.
• Supporting MLOps Practices : Collaborate with data scientists and machine learning engineers to design and implement data infrastructure and processes that support machine learning model development, deployment, and maintenance.
• Ensuring Data Security and Compliance : Implement security measures, policies, and procedures to safeguard data privacy and comply with relevant regulations.
• Data Governance and Management : Establish and enforce data governance policies and standards to ensure data quality, integrity, and accessibility.
• Collaborating with Cross-Functional Teams : Work closely with data engineers, data scientists, business analysts, and other stakeholders to understand data requirements and translate them into technical solutions.
• Staying Abreast of Technological Advancements : Keep up-to-date with emerging technologies and trends in data architecture, data engineering, and MLOps to identify opportunities for improvement and innovation.
• Optimising Data Performance : Monitor and analyze data processing performance, identify bottlenecks, and implement optimisations to enhance efficiency and scalability.
• Documentation and Knowledge Sharing : Create and maintain comprehensive documentation of data architecture, models, and processing workflows.

Technical Requirements

• Extensive experience in data architecture design and implementation.
• Hands-on experience with Amazon Redshift for data warehousing, query optimization, and integration with AWS analytics services.
• Strong knowledge of data engineering principles and practices.
• Expertise in data warehousing, data modelling, and data integration.
• Experience in MLOps and machine learning pipelines.
• Proficiency in SQL and data manipulation languages.
• Experience with big data platforms (including PowerBI, DBT, Databricks, MySQL, Postgres, Clickhouse, Kafka, Redis etc) and cloud-based infrastructure on AWS.

Education & Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience.
• Preferred certifications (optional) :
• AWS Machine Learning Ops Engineer

Seniority level

Seniority level

Not Applicable

Employment type

Employment type

Full-time

Job function

Job function

Engineering and Information Technology

Software Development, Data Infrastructure and Analytics, and IT System Custom Software Development

Referrals increase your chances of interviewing at Boundless by 2x

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

Principal Technical Architect - Big Data

Customer Solution Architect - Smart Building

Solution Architect (API-driven, microservices-based, and architectures)

Senior Solution Architect - Data & Analytics

Dubai, Dubai, United Arab Emirates 16 hours ago

Dubai, Dubai, United Arab Emirates 16 hours ago

Dubai, Dubai, United Arab Emirates 16 hours ago

Data Centre Senior Design Manager (Mechanical / Electrical Engineer)

Senior Solutions Architect (Pre Sales, Saudi Arabia)

Partner Solutions Architect - Emerging Markets

Senior Technical Architect - Salesforce Marketing Cloud & Data Cloud

OCI Solution Architect – Finance & Integration

Business Data & AI Analyst(Arabic speaking)

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

J-18808-Ljbffr

Get AI-powered advice on this job and more exclusive features.

We are looking for a Data Architect to define and implement enterprise data architecture, ensuring that data is treated as a strategic asset across Landmark Group. The role will focus on building scalable, secure, and future-ready data platforms that enable advanced analytics, AI/ML, and business insights to support Landmark’s retail and digital transformation journey.

Key Responsibilities

• Define and own the enterprise data architecture strategy, frameworks, and governance models.
• Design and implement data platforms, data lakes, warehouses, and pipelines across cloud and on-premise environments.
• Partner with product, digital, and business teams to translate requirements into scalable data models and solutions.
• Establish data standards, metadata management, data quality, and security practices.
• Drive adoption of modern data architecture practices (data mesh, data fabric, streaming, real-time processing).
• Evaluate, recommend, and govern data technologies (Azure Data Platform, Snowflake, Databricks, Kafka, Informatica, etc.).
• Collaborate with integration, application, and analytics teams to ensure consistent and accurate data flow.
• Define KPIs for data availability, quality, performance, and compliance.
• Expertise in data modeling, data warehousing, ETL/ELT pipelines, and big data technologies.
• Strong understanding of cloud-native data platforms (Azure, AWS, GCP).
• Strategic mindset with ability to align data strategy to business priorities.
• Analytical problem-solving approach with focus on data-driven decision making.
• Strong collaboration and stakeholder management skills across technology and business.
• Knowledge of data security, governance, and regulatory compliance (GDPR, CCPA, etc.).
• Excellent communication skills to articulate data concepts to technical and non-technical audiences.

Target Background

• Bachelor’s/Master’s degree in Computer Science, Information Technology, Data Science, or related field.
• 8–12 years of IT experience with at least 4–6 years in data architecture roles.
• Hands-on experience with data lakes, data warehouses, and big data ecosystems (Hadoop, Spark, Databricks).
• Strong expertise in SQL, data modeling, and ETL/ELT pipelines.
• Proven experience with cloud data platforms (Azure Synapse, Snowflake, AWS Redshift, GCP BigQuery).
• Experience in large-scale retail, e-commerce, or B2C environments (preferred).
• Certifications in cloud data platforms or data architecture (preferred).

About Us-

Landmark Group

Our journey started in 1973 with a single store in Bahrain. Since then, we have grown into a global retail and hospitality group. The proud creator of 25 plus value led, own-built brands across retail, hospitality, food, and leisure.

Over the years, our UAE - based group has evolved into a comprehensive retail and hospitality entity, with over 2200 retail stores, leisure, and hospitality outlets, panning the GCC, Middle East, India, Southeast Asia, and Africa. Today, Landmark Group is one of GCC's largest omnichannel retailers and India's top home and fashion retailer.

We take immense pride in the organic growth of our retail brands, which have blossomed into household names. From Max, Splash, Babyshop, Centrepoint, Shoemart, Home Centre, Emax, Fitness First, to Fun City, to name a few, our brands span across a multitude of categories, enriching the lives of countless families over the past decade.

As a part of the Landmark Group, a renowned retail and hospitality conglomerate in the Middle East, North Africa, and India, Landmark Digital is the dynamic digital arm of Landmark Retail, serving as the cornerstone of our omnichannel business strategy.

Headquartered in Dubai, UAE, we oversee the digital operations of eight leading brands across diverse geographies, with ambitious plans for expansion into new territories and functions. Joining us means becoming a vital part of the Middle East's most significant bricks-to-clicks success story, boasting an impressive year-on-year growth rate exceeding 100%.

Comprising a talented workforce of over 700 professionals across diverse domains, Landmark Digital spearheads various functions including Enterprise and E-commerce Tech, Product Management, User Design, and MarTech, among others. With our futuristic outlook, we are committed to delivering seamless digital experiences to our customers.

Landmark Digital

At Landmark Digital, we cultivate an agile work culture, empowering you to make impactful decisions from day one within collaborative squads comprising professionals from over 20 nationalities. Additionally, our dedicated software development center in Bangalore, India, offers opportunities for incubation, design, and optimization of digital products.

Working at Landmark Digital means engaging with cutting-edge technologies, including Enterprise and E-commerce tech, headless commerce, Java Spring Boot, React Native, React frontend, and Azure Cloud solutions, providing an enriching environment for professional growth and development.

In addition to competitive remuneration and benefits, we prioritize continuous learning and growth through dedicated training and upskilling initiatives. Furthermore, our vibrant workplace culture fosters camaraderie through various team events, celebrations, and recreational amenities, ensuring a fulfilling experience both personally and professionally.

Come be a part of Landmark Digital, where innovation, collaboration, and growth converge to redefine the digital retail landscape

• Seniority levelMid-Senior level

• Employment typeFull-time

• Job functionInformation Technology
• IndustriesRetail and Internet Marketplace Platforms

Referrals increase your chances of interviewing at Landmark Group by 2x

Dubai, Dubai, United Arab Emirates 20 hours ago

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