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senior data architect (enterprise modernization & analytics) Jobs in Abu Dhabi United Arab Emirates

senior data architect (enterprise modernization & analytics)

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ai solution architect Jobs in Abu Dhabi United Arab Emirates

ai solution architect

senior data architect enterprise modernization analytics

Acenet consulting

About Us: AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.Job Summary: We are seeking a highly experienced and strategic Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. This critical role will be responsible for defining the architecture roadmap and making key decisions regarding the modernization of the data landscape, specifically managing the transition from legacy systems to a unified, high-performance platform centered around Data Warehouse, Data Lake, Data Security and Master Data Management (MDM) services. The ideal candidate possesses deep technical expertise, a strategic mindset, and a proven ability to govern complex data environments to enable advanced Enterprise Data Analytics.Key Responsibilities:<ul><li>Strategic Architecture &amp; Decision Making, Design &amp; Strategy: Define the conceptual, logical, and physical data architecture blueprint, making critical decisions on technology selection, integration patterns, and data flow to align with business strategy</li><li>Modernization Roadmapping: Lead the planning and execution of the data migration strategy from existing legacy systems to new, standard enterprise platforms.</li><li>Data Platform Management: Define the target state architecture for core data assets, including the optimal deployment, management, and interaction between the Data Warehouse and the Data Lake.</li><li>Performance &amp; Scalability: Ensure the data architecture is robust, highly available, and scalable to meet current and future demands of high-volume data ingestion and complex analytical queries.</li><li>Data Governance &amp; Master Data Management (MDM), MDM Implementation: Own the Master Data Management strategy and architecture, ensuring the accurate definition, governance, and synchronization of critical enterprise data (Customer, Product, Location, etc.) across all new systems.</li><li>Data Security &amp; Compliance: Architect and enforce security and access control policies (e.g., encryption, masking, role-based access) across all data layers, particularly for sensitive data originating from systems like EMR (HIPAA/PHI) and Cybersecurity.</li><li>Data Quality &amp; Lineage: Establish and enforce enterprise data quality standards, metadata management, and data lineage tracking to ensure data trust and regulatory compliance.</li><li>Enterprise Data Analytics &amp; Business Enablement, Analytics Blueprint: Design the data models (dimensional, normalized, Data Vault) within the Data Warehouse and Data Lake to optimize data access for advanced Enterprise Data Analytics, Business Intelligence (BI), and Machine Learning (ML) use cases.</li><li>Integration: Define robust ETL/ELT strategies and pipelines to efficiently ingest, transform, and load data from diverse operational sources into the analytical platforms.</li><li>Stakeholder Alignment: Collaborate with business leaders, data scientists, and analysts to translate complex business requirements into tangible, high-value data architecture solutions.</li></ul>Role Requirements and Qualifications:<ul><li>7+ years of progressive experience in Data Architecture, with at least 3 years in a senior, decision-making capacity for an enterprise-level data platform.</li><li>Experience with Data Governance tools (e.g., Collibra, Informatica Axon) or Data Catalogs.</li><li>Extensive experience with Data Warehouse management and design, including performance tuning and large-scale deployment.</li><li>Mandatory experience designing and managing Data Lake services and architectures (e.g., using major cloud providers like AWS, Azure, OCI or GCP).</li><li>Deep, hands-on expertise in Master Data Management (MDM) principles and technologies, including experience selecting and implementing an MDM solution.</li><li>Proven track record of success in leading large-scale system migration or data integration projects, specifically moving from older, disparate systems to standard ERP/CRM/Clinical systems.</li><li>Expert knowledge of data modeling techniques (Conceptual, Logical, Physical), SQL, NoSQL, and modern data streaming/processing frameworks.</li><li>Strong understanding of security frameworks and regulatory compliance requirements relevant to data (e.g., HIPAA, GDPR, CCPA).</li><li>Excellent communication, negotiation, and presentation skills, with the ability to articulate complex architectural concepts to both technical teams and C-level stakeholders.</li><li>Direct experience integrating data from Oracle Fusion, MS Dynamics, and Clinical systems.</li><li>Experience working in healthcare IT industry.</li><li>Certifications such as TOGAF, CDMP, or specialized cloud data certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer)</li></ul>Why Join Us:<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul>How to Apply: If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.Job Types: Full-time, PermanentExperience:<ul><li>Decision Making: 3 years (Preferred)</li><li>Data Architecture: 7 years (Preferred)</li></ul>

Senior Data Architect (Enterprise Modernization & Analytics)

<div><div>Experience: 7 to 13 years
 
Location: Abu Dhabi
 
Job code: 101347
 
Posted on: Oct 08, 2025 
</div> 
About Us: 
AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. 
We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.
Job Summary: 
We are seeking a highly experienced and strategic Senior Data Architect to lead the design and evolution of our enterprise data ecosystem. This critical role will be responsible for defining the architecture roadmap and making key decisions regarding the modernization of the data landscape, specifically managing the transition from legacy systems to a unified, high-performance platform centered around Data Warehouse, Data Lake, Data Security and Master Data Management (MDM) services. The ideal candidate possesses deep technical expertise, a strategic mindset, and a proven ability to govern complex data environments to enable advanced Enterprise Data Analytics.
<div>Key Responsibilities: 
<ul><li>Strategic Architecture &amp; Decision Making, Design &amp; Strategy: Define the conceptual, logical, and physical data architecture blueprint, making critical decisions on technology selection, integration patterns, and data flow to align with business strategy.</li><li>Modernization Roadmapping: Lead the planning and execution of the data migration strategy from existing legacy systems to new, standard enterprise platforms.</li><li>Data Platform Management: Define the target state architecture for core data assets, including the optimal deployment, management, and interaction between the Data Warehouse and the Data Lake.</li><li>Performance &amp; Scalability: Ensure the data architecture is robust, highly available, and scalable to meet current and future demands of high-volume data ingestion and complex analytical queries.</li><li>Data Governance &amp; Master Data Management (MDM), MDM Implementation: Own the Master Data Management strategy and architecture, ensuring the accurate definition, governance, and synchronization of critical enterprise data (Customer, Product, Location, etc.) across all new systems.</li><li>Data Security &amp; Compliance: Architect and enforce security and access control policies (e.g., encryption, masking, role-based access) across all data layers, particularly for sensitive data originating from systems like EMR (HIPAA/PHI) and Cybersecurity.</li><li>Data Quality &amp; Lineage: Establish and enforce enterprise data quality standards, metadata management, and data lineage tracking to ensure data trust and regulatory compliance.</li><li>Enterprise Data Analytics &amp; Business Enablement, Analytics Blueprint: Design the data models (dimensional, normalized, Data Vault) within the Data Warehouse and Data Lake to optimize data access for advanced Enterprise Data Analytics, Business Intelligence (BI), and Machine Learning (ML) use cases.</li><li>Integration: Define robust ETL/ELT strategies and pipelines to efficiently ingest, transform, and load data from diverse operational sources into the analytical platforms.</li><li>Stakeholder Alignment: Collaborate with business leaders, data scientists, and analysts to translate complex business requirements into tangible, high-value data architecture solutions.</li></ul></div>
<div>Role Requirements and Qualifications: 
<ul><li>7+ years of progressive experience in Data Architecture, with at least 3 years in a senior, decision-making capacity for an enterprise-level data platform.</li><li>Experience with Data Governance tools (e.g., Collibra, Informatica Axon) or Data Catalogs.</li><li>Extensive experience with Data Warehouse management and design, including performance tuning and large-scale deployment.</li><li>Mandatory experience designing and managing Data Lake services and architectures (e.g., using major cloud providers like AWS, Azure, OCI or GCP).</li><li>Deep, hands-on expertise in Master Data Management (MDM) principles and technologies, including experience selecting and implementing an MDM solution.</li><li>Proven track record of success in leading large-scale system migration or data integration projects, specifically moving from older, disparate systems to standard ERP/CRM/Clinical systems.</li><li>Expert knowledge of data modeling techniques (Conceptual, Logical, Physical), SQL, NoSQL, and modern data streaming/processing frameworks.</li><li>Strong understanding of security frameworks and regulatory compliance requirements relevant to data (e.g., HIPAA, GDPR, CCPA).</li><li>Excellent communication, negotiation, and presentation skills, with the ability to articulate complex architectural concepts to both technical teams and C-level stakeholders.</li><li>Direct experience integrating data from Oracle Fusion, MS Dynamics, and Clinical systems.</li><li>Experience working in healthcare IT industry.</li><li>Certifications such as TOGAF, CDMP, or specialized cloud data certifications (e.g., AWS Certified Data Analytics, Azure Data Engineer)</li></ul></div>
<div>Why Join Us: 
<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul></div>
How to Apply: 
If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.</div>

About Us: AceNet Consulting is a fast-growing global business and technology consulting firm specializing in business strategy, digital transformation, technology consulting, product development, start-up advisory and fund-raising services to our global clients across banking &amp; financial services, healthcare, supply chain &amp; logistics, consumer retail, manufacturing, eGovernance and other industry sectors. We are looking for hungry, highly skilled and motivated individuals to join our dynamic team. If you&rsquo;re passionate about technology and thrive in a fast-paced environment, we want to hear from you.Job Summary: We are seeking a highly skilled and experienced Azure Technical Architect with a minimum of 10 years of hands-on experience in Microsoft Azure. The ideal candidate should possess excellent inter-company communication skills, demonstrated experience in designing and implementing complex Azure-based solutions, and a solid understanding of AI platforms (HPC/AI), including Microsoft AI, Cerebras, Fluid Stack and AMD-based architectures. This role involves working closely with cross-functional teams to deliver scalable, secure, and high-performance cloud solutions that align with business objectives.Key Responsibilities:<ul><li>Design, implement, and maintain end-to-end Azure solutions across various Azure services.</li><li>Continuously assess the health of Azure services and infrastructure using Azure Service Health, Resource Health, and Azure Monitor. Proactively identify potential issues and outages, minimizing downtime and ensuring service reliability.</li><li>Analyze performance metrics across compute, storage, network, and application layers &amp; Identify bottlenecks and performance gaps, recommending and implementing tuning strategies.</li><li>Translate complex business requirements into scalable, secure, and reliable Azure architecture designs.</li><li>Architect and lead complex application modernization journeys, including the decomposition of monolithic applications (e.g., legacy .NET apps) into scalable, secure, and cost-effective microservices on Azure.</li><li>Design end-to-end migration solutions for complex, multi-tier enterprise workloads, ensuring minimal business disruption and maximizing the return on cloud investment.</li><li>Evaluate application portfolios to provide strategic recommendations on migration paths: Rehost (lift-and-shift), Refactor, Rearchitect (to microservices), or Rebuild.</li><li>Act as a technical advisor to internal stakeholders and external and partner stakeholders.</li><li>Drive cloud adoption strategies and lead Azure cloud migration and modernization initiatives.</li><li>Collaborate with development, DevOps, AI/ML, and security teams to ensure optimal cloud architecture and deployment practices.</li><li>Provide architectural governance and ensure compliance with best practices, standards, and security policies.</li><li>Produce high-quality documentation, architecture diagrams, and solution blueprints.</li><li>Guide and mentor technical teams and conduct architectural reviews.</li><li>Stay current on the latest developments in Azure services and AI technologies.</li></ul>Role Requirements and Qualifications:<ul><li>Minimum 10 years of relevant hands-on experience with Microsoft Azure.</li><li>Experience with Core Azure Infrastructure, Azure Virtual Machines, Azure Virtual Desktop, Azure Virtual Network (VNet), Azure Load Balancer, Azure Application Gateway, Azure VPN Gateway, Azure ExpressRoute, Virtual WAN, Network Security Groups (NSGs)</li><li>Experience with Third-Party Networking Solution, Palo Alto Firewall, Panorama, Cisco SDWAN, Infoblox.</li><li>Experience with Load Balancing Solution, Azure Load Balancer, Azure Application Gateway, Azure Frontdoor, WAF, Citrix NetScaler.</li><li>Experience with Backup Solution, Azure Backup, Snapshot, Veeam Backup.</li><li>Experience with Automation, Terraform, Bicep, Azure PowerShell &amp; CLI.</li><li>Experience with Azure Storage Solutions, Azure Blob Storage, Azure Files, Azure Disk Storage, Azure Storage Accounts.</li><li>Experience with Azure Compute &amp; App Services, Azure App Services, Azure Functions, Azure Kubernetes Service (AKS), Azure Container Instances, Azure Service Fabric.</li><li>Experience with Monitoring &amp; Management, Azure Monitor, Log Analytics, Azure Automation, Azure Resource Manager (ARM), Azure Advisor.</li><li>Experience with Identity &amp; Access Management, Azure Active Directory (AAD), Azure Key Vault, Role-Based Access Control (RBAC), Management Groups &amp; Subscriptions.</li><li>Experience with DevOps &amp; CI/CD, Azure DevOps, Azure Repos, Azure Pipelines, Azure Boards, Azure Test Plans, Azure Artifacts, Azure DevTest Labs, Azure SDKs, Azure App Configuration, Azure Lab Services.</li><li>Experience with Azure AI &amp; ML Platforms, Azure Machine Learning, Azure AI Bot Service, Azure Cognitive Services, Azure Databricks, Azure AI Search, Azure OpenAI, Azure Form Recognizer, Azure Immersive Reader, Azure Personalizer, Azure Video Indexer, Azure Metrics Advisor, Azure Custom Vision, Azure Translator, Azure Speech Services, Azure Content Safety, Azure Document Intelligence, Azure Foundry Models, Azure Health Bot, Azure Kinect DK, Azure Face API, Azure QnA Maker, Azure Language Understanding (LUIS), Azure Text Analytics, Azure Text to Speech, Azure Speaker Recognition, Azure Microsoft Genomics, Azure Project Bonsai.</li><li>Other AI Platforms (Basic Understanding Preferred), Cerebras Systems AI solutions, AMD AI accelerators, Microsoft HPCs &amp; ecosystem.</li><li>Microsoft Certified: Azure Solutions Architect Expert certification (required).</li><li>Strong understanding of cloud architecture, networking, security, and automation.</li><li>Demonstrated experience with AI/ML solutions and integrations.</li><li>Excellent written and verbal communication skills with the ability to engage both technical and non-technical stakeholders.</li><li>Strong problem-solving skills and ability to work independently and as part of a team.</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Technology, or related field.</li></ul>Why Join Us:<ul><li>Opportunities to work on transformative projects, cutting-edge technology and innovative solutions with leading global firms across industry sectors.</li><li>Continuous investment in employee growth and professional development with a strong focus on up &amp; re-skilling.</li><li>Competitive compensation &amp; benefits, ESOPs and international assignments.</li><li>Supportive environment with healthy work-life balance and a focus on employee well-being.</li><li>Open culture that values diverse perspectives, encourages transparent communication and rewards contributions.</li></ul>How to Apply: If you are interested in joining our team and meet the qualifications listed above, please apply and submit your resume highlighting why you are the ideal candidate for this position.Job Types: Full-time, PermanentPay: AED300,000.00 - AED400,000.00 per yearLicense/Certification:<ul><li>Azure Solutions Architect Expert certification (Preferred)</li></ul>

Azure Technical Architect

Brainlake Advertising LLC

<div>About The Role
We&rsquo;re looking for a Chief Digital Architect to lead architecture vision and governance across a multi-brand digital ecosystem defining how customer-facing platforms, data, and Gen-AI applications come together to deliver next-generation experiences.
You&rsquo;ll act as the overall architecture authority, aligning strategy and execution across digital, web, mobile, loyalty, integration, and cloud. You&rsquo;ll collaborate with Enterprise, Cloud, and Solution Architects to design a cohesive, scalable, and secure landscape that powers innovation across multiple brands.
This is a senior, high-impact role for someone who combines deep technical acumen with strategic leadership and hands-on delivery.
What You'll Do<ul>
<li>
Act as the Chief Architect for the enterprise digital landscape.</li>
<li>Coordinate across Solution, Cloud, and Enterprise Architecture teams.</li>
<li>Map and document the current-state architecture across all digital domains.</li>
<li>Lead architecture reviews of key customer journeys and technology layers.</li>
<li>Design target-state architectures and transition roadmaps across platforms.</li>
<li>Define architecture for digital workstreams (web, mobile, loyalty, data, integration, cloud).</li>
<li>Ensure architectural coherence across Gen-AI, cloud-native, and CX applications.</li>
<li>Drive design reviews, documentation standards, and governance processes.</li>
</ul>
Requirements<ul>
<li>
12+ years building and delivering customer-facing digital applications (web &amp; mobile).</li>
<li>Expertise in MDM, CDP, CXP, CMS, DAM, and Loyalty platforms.</li>
<li>Hands-on experience with cloud-native applications (Azure or GCP).</li>
<li>Experience building and deploying Gen-AI solutions.</li>
<li>Strong understanding of software architecture styles, microservices, and DevSecOps.</li>
<li>Exposure to multi-tenancy and FinOps in scalable cloud environments.</li>
<li>Experience leading architecture teams and collaborating with delivery squads.</li>
<li>Broad understanding of retail and e-commerce ecosystems.</li>
<li>Excellent communication and stakeholder management skills.</li></ul></div>

Chief Digital Architect

D4 Insight

<div>We&rsquo;re Hiring: AI Solution Architect 
Location: Abu Dhabi 
Salary: AED 30K+ (based on experience and interview) 
Experience: 8+ Years

About the Role: 
We are looking for an accomplished AI Solution Architect to design and deliver AI, ML, and Generative AI solutions at enterprise scale. The ideal candidate will bring deep technical expertise in modern AI architectures, system integrations, and LLM-driven applications &ndash; with the ability to translate complex business needs into scalable, secure, and high-performing AI solutions.

Key Responsibilities:
<ul>
<li>Architect, design, and deploy AI/ML and GenAI solutions across diverse business domains and hybrid environments.
</li>
<li>Develop and integrate APIs, microservices, and enterprise-grade AI systems, ensuring alignment with architecture standards.
</li>
<li>Translate business requirements into scalable technical architectures for AI/ML and Generative AI use cases.
</li>
<li>Design and implement Conversational AI systems, including intelligent chatbots and virtual assistants powered by Large Language Models (LLMs).
</li>
<li>Build and deploy GenAI applications and intelligent agents, integrating them with enterprise systems through APIs and event-driven architectures.
</li>
<li>Lead end-to-end GenAI solution design, focusing on performance, cost, security, and scalability.
</li>
<li>Orchestrate agentic workflows using frameworks such as LangChain, Semantic Kernel, or custom orchestration layers.
</li>
<li>Manage the LLM lifecycle, including fine-tuning, versioning, rollback, and secure access through enterprise identity systems.
</li>
<li>Apply MLOps practices to streamline model deployment, monitoring, and lifecycle management.
</li>
<li>Design and deploy cloud-native AI/ML solutions on Azure or AWS, leveraging serverless architectures and cost optimization strategies.
</li>
<li>Collaborate with cross-functional teams &ndash; enterprise architects, cloud engineers, and security teams &ndash; to ensure compliance, scalability, and secure deployments.</li></ul> 

Required Skills &amp; Expertise:
<ul>
<li>Proven hands-on experience in AI/ML and Generative AI architecture and solution design.
</li>
<li>Strong understanding of LLMs, MLOps, API integrations, and hybrid system architecture.
</li>
<li>Expertise in cloud AI services (Azure AI, AWS Sagemaker, Bedrock, etc.).
</li>
<li>Familiarity with LangChain, Semantic Kernel, and modern AI orchestration frameworks.
</li>
<li>Excellent problem-solving, communication, and stakeholder management skills.
</li>
</ul> Apply Now.</div>

AI Solution Architect

Future Tech Enterprise, Inc.

<div>
 As the
 
 International
 
 
 Inside Sales Representative
 
 at Future Tech Enterprise, Inc., you will work closely with our account team servicing and interacting with customers and vendors, providing valuable customer support. We are seeking a proactive, results-driven, detail-oriented individual with
 
 excellent English communication
 
 and customer service skills.
 
 
 
 This is a full-time, remote position.
 
 Work hours are expected to be
 
 8:00 AM&ndash;5:00 PM UAE Standard Time.
 
 
 
 
 Responsibilities include:
 
 
 
 <ul>
 <li>
 Professionally interacting with customers on operational issues, projects, and contracts, handling routine matters with vendors and liaising with internal departments
 </li>
 <li>
 Building excellent relationships with customers and vendors
 </li>
 <li>
 Preparing quotes, proposals, special bid pricing, and deal registrations
 </li>
 <li>
 Processing orders
 </li>
 <li>
 Escalating critical issues and providing timely updates to customer and management
 </li>
 <li>
 Tracking orders and returns
 
 
 </li>
 </ul>
 
 Requirements:
 
 
 
 <ul>
 <li>
 Excellent English communication skills &ndash; writing and speaking
 </li>
 <li>
 1-3 years&rsquo; business-to-business related, experience
 </li>
 <li>
 Bachelor's degree in business or marketing preferred
 </li>
 <li>
 Must excel in a fast-paced environment, focused on driving customer satisfaction
 </li>
 <li>
 Solid problem-solving acumen and skill
 </li>
 <li>
 Self-driven, motivated, and extremely detail-oriented
 </li>
 <li>
 Strong organizational and PC skills
 </li>
 <li>
 Ability to work remotely
 </li>
 <li>
 ERP or SAP experience, AS400 a plus
 </li>
 <li>
 Knowledge of servers, storage, basic networking, and computer distribution channels are a strong plus
 
 
 </li>
 </ul>
 
 About Future Tech Enterprise, Inc.
 
 
 
 Future Tech Enterprise, Inc. is a recognized leader in delivering enterprise IT solutions and services to commercial, federal, and global clients. We are proud partners with technology innovators such as Dell Technologies, NVIDIA, Dell, Cisco, and others, helping our customers transform operations and drive digital modernization.
 
 
</div>

International Inside Sales Representative - Abu Dhabi UAE

CloudJune Technologies LLC

Job SummaryAs a Senior Data Engineer, you will be a foundational architect, responsible for designing, building, and maintaining the robust, scalable, secure, and high-performance data infrastructure that powers our AI/ML initiatives. You will work closely with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and Software Engineers to ensure the seamless flow of data from diverse government sources into our AI/ML pipelines, enabling the development and deployment of impactful intelligent applications across Abu Dhabi.What You'll Do:&#9679; Design, build, and maintain scalable and reliable data pipelines for ingesting, transforming, and storing large and complex datasets from various government sources (structured, semi-structured, and unstructured).&#9679; Architect and implement data warehousing and data lake solutions on cloud platforms (primarily Azure) to provide a centralized and accessible data foundation for AI/ML and analytics.&#9679; Develop and optimize ETL/ELT processes using industry-standard tools and technologies (e.g., Azure Data Factory, Databricks, Kafka) to ensure data quality, integrity, and efficient processing.&#9679; Implement and manage data governance policies and procedures, ensuring data security, compliance with government regulations, and adherence to data quality standards.&#9679; Collaborate with Data Scientists and AI Engineers to understand their data requirements and build data pipelines that meet their specific needs for model development and evaluation.&#9679; Work closely with AIOps/MLOps Engineers to ensure seamless integration of data pipelines with AI/ML workflows and deployment processes.&#9679; Design and implement data monitoring and alerting systems to proactively identify and resolve data quality issues and pipeline failures.&#9679; Optimize data storage and retrieval systems for performance and cost-efficiency, leveraging appropriate database technologies (relational, NoSQL, vector, graph).&#9679; Implement data security measures including access control, encryption, and data masking to protect sensitive government data.&#9679; Develop and maintain data catalogs and data lineage solutions to ensure data discoverability, understand data flow, and facilitate data governance.&#9679; Evaluate and adopt new data engineering tools and technologies to continuously improve our data infrastructure and processes.&#9679; Troubleshoot and resolve data-related issues across the data lifecycle, ensuring data availability and reliability for AI/ML and analytics.&#9679; Document data pipelines, data models, and data engineering processes clearly and concisely for both technical and non-technical stakeholders.What You'll Bring:&#9679; Bachelor's or Master's degree in Computer Science, Data Engineering, or a related technical field with a strong focus on data management and infrastructure.&#9679; At least 3 years of hands-on experience in designing, building, and maintaining data pipelines and data infrastructure in a production environment.&#9679; Deep understanding of data warehousing concepts, data modeling techniques (e.g., Kimball, Inmon), and data lake architectures.&#9679; Proven experience with cloud platforms, especially Microsoft Azure, and their data engineering services (e.g., Azure Data Factory, Azure Synapse Analytics, Azure Data Lake Storage, Azure Databricks).&#9679; Extensive experience with ETL/ELT tools and technologies (e.g., Apache Spark, Apache Kafka, SQL).&#9679; Strong proficiency in SQL and experience with various database systems, including:&#9675; Relational Databases: (e.g., PostgreSQL, SQL Server, Azure SQL Database).&#9675; NoSQL Databases: (e.g., MongoDB, Cassandra, Azure Cosmos DB).&#9675; Vector Databases: (e.g., Milvus, Pinecone, ChromaDB - understanding their data ingestion and retrieval aspects).&#9675; Graph Databases: (e.g., Neo4j, ArangoDB - understanding their data modeling and querying aspects).&#9679; Strong scripting and programming skills in languages such as Python or Scala for data processing and automation.&#9679; Experience with data governance frameworks, data quality management, and data security principles.&#9679; Experience with data monitoring and alerting tools.&#9679; Excellent problem-solving and analytical skills with the ability to diagnose and resolve complex data-related issues.&#9679; Strong collaboration and communication skills, with the ability to work effectively with Data Scientists, AI Engineers, AIOps/MLOps Engineers, and other stakeholders.&#9679; A proactive and detail-oriented approach with a strong focus on building robust and reliable data infrastructure.Bonus Points For:&#9679; Experience with data virtualization technologies.&#9679; Experience with building real-time data pipelines.&#9679; Knowledge of data lineage and data catalog tools (e.g., Azure Purview).&#9679; Experience with implementing data mesh concepts.&#9679; Familiarity with infrastructure-as-code (IaC) tools (e.g., Terraform, ARM templates) for data infrastructure provisioning.&#9679; Certifications in relevant cloud platforms or data engineering technologies.&#9679; Experience working with government data regulations and compliance standards.Job Type: Full-timePay: From AED20,000.00 per monthAbility to commute/relocate:<ul><li>Abu Dhabi: Reliably commute or planning to relocate before starting work (Required)</li></ul>Experience:<ul><li>data pipelines and data infra in a production env: 5 years (Required)</li><li>ETL/ELT tools and tech, Apache Spark, Apache Kafka, SQL: 5 years (Required)</li><li>AI/ML development : 3 years (Required)</li></ul>License/Certification:<ul><li>Emirates ID (Required)</li></ul>

Senior Data Engineer

Explore 649+ Senior data architect enterprise modernization analytics in Abu Dhabi United Arab Emirates this November. Find roles across top companies and apply now to boost your career.

649 senior data architect enterprise modernization analytics jobs IN Abu Dhabi United Arab Emirates

Senior Data Architect (Enterprise Modernization & Analytics)

Senior Data Architect (Enterprise Modernization & Analytics)

Azure Technical Architect

Chief Digital Architect

AI Solution Architect

International Inside Sales Representative - Abu Dhabi UAE

Senior Data Engineer