enterprise data architect

NorthBay Solutions

<div>Job Title: Data Architect &ndash; AWS, Data Migration &amp; Lakehouse 
Location: Dubai, UAE (100% Onsite) 
Experience Required: 14&ndash;16+ Years 
Employment Type: Full-Time
Job Summary 
We are seeking a highly experienced Data Architect with 14&ndash;16+ years of expertise to design, build, and govern enterprise-scale AWS data platforms. The ideal candidate will have strong hands-on architectural experience across AWS data services, batch and event-driven processing frameworks, orchestration, and data governance. You will lead data architecture strategy, mentor engineering teams, and ensure scalable, secure, and high-performing data solutions. 
 
Note: This role is onsite in Dubai, UAE, and candidates currently outside the UAE must be willing to relocate.
Key Responsibilities<ul><li>
Design and own end-to-end AWS data architecture for enterprise platforms</li><li>
Define data architecture standards, best practices, and reference models</li><li>
Architect batch and event-driven data pipelines using AWS native services</li><li>
Lead data ingestion, transformation, and orchestration workflows</li><li>
Design and implement solutions using AWS Glue, EMR, Lambda, and MWAA (Airflow)</li><li>
Architect data lakes and data warehouses using Amazon S3 and Amazon Redshift</li><li>
Design NoSQL data solutions using Amazon DynamoDB</li><li>
Implement data governance, metadata management, and access control using AWS DataZone</li><li>
Ensure monitoring, logging, and observability using Amazon CloudWatch</li><li>
Partner with engineering, analytics, and business teams to translate requirements into scalable data solutions</li><li>
Lead cloud migration and data modernization initiatives</li><li>
Ensure security, compliance, performance optimization, and cost efficiency</li><li>
Provide technical leadership, mentorship, and architecture reviews</li></ul>
Required Skills and Technologies<ul><li>
AWS Glue (ETL, Data Catalog)</li><li>
Amazon EMR (Batch Processing)</li><li>
AWS Lambda (Serverless Data Processing)</li><li>
Amazon MWAA (Apache Airflow)</li><li>
Amazon EC2</li><li>
Amazon CloudWatch</li><li>
Amazon Redshift</li><li>
Amazon DynamoDB</li><li>
AWS DataZone</li><li>
Amazon S3 (Data Lakes)</li><li>
SQL (Advanced)</li><li>
Data Modeling (Dimensional, Relational, Lakehouse)</li><li>
AWS IAM, Security, Encryption, Networking</li><li>
Distributed Data Processing</li></ul>
Experience and Qualifications<ul><li>
14&ndash;16+ years of experience in Data Engineering and Data Architecture</li><li>
Proven experience working as a Data Architect on large-scale AWS platforms</li><li>
Strong experience designing enterprise data lakes and data warehouses</li><li>
Hands-on experience with batch data processing and orchestration frameworks</li><li>
Excellent communication and stakeholder management skills</li><li>
Ability and willingness to work onsite in Dubai, UAE (relocation required if outside UAE)</li></ul>
Preferred Qualifications<ul><li>
AWS Certified Solutions Architect &ndash; Professional</li><li>
AWS Certified Data Analytics &ndash; Specialty</li><li>
Experience with enterprise data governance frameworks</li></ul>
JI7gwEvrHw</div>

Data Architect – AWS, Data Migration & Lakehouse

Hays Specialist Recruitment Limited

Enterprise Architect - DV Cleared, Defence Up to £690 per day 2 -3 days a week on site at locations across the UK 4 months My client is an instantly recognisable consultancy who urgently require an Enterprise Architect with Active DV Clearance to join a business-critical programme for an end client within the Defence sector. Key Requirements: <ul> <li>Proven commercial experience working as an Enterprise Architect within the Defence sector.</li><li>Active DV clearance.</li><li>Experience designing and evolving enterprise architecture frameworks aligned with defence standards and methodologies such as NAF and TOGAF</li><li>Previous experience of developing and maintaining multi-domain architecture views including application, data, technology, security, and business layers</li><li>Strong governance and assurance knowledge across complex defence programmes and secure environments</li><li>Familiarity with creating and managing architecture artefacts using tools like BizzDesign and Sparx EA, including system context diagrams and technology roadmaps</li><li>The ability to provide strategic architectural guidance and stakeholder-specific viewpoints for technical teams, programme boards, and senior leadership</li><li>Experience with ensuring compliance with defence security policies while collaborating with internal and external stakeholders to deliver integrated, cloud-enabled solutions</li></ul> Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk

Enterprise Architect - DV Cleared, Defence

Codvo.ai

<div><div><div>Data Architect (Category - Architect)
Sector: Oil and Gas
Location: Doha, Qatar<div></div> 
About Us
At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology. 
Our Vision: Engineering the Future of Energy with Data
Our digital transformation is moving from strategy to execution. We have a clear roadmap of high-impact data and AI use cases designed to fundamentally re-engineer our operations&mdash;from improving efficiency and implementing predictive maintenance on critical assets to enhancing subsurface modeling for better exploration outcomes. This is not just an IT upgrade; it is a core business imperative to create a more resilient, efficient, and intelligent energy company. We are now building the core team of innovators and builders to deliver these initiatives. This role is critical to bringing that vision to life, moving beyond theory to engineer the specific, robust data solutions that will power our most strategic projects and deliver measurable value. 
The Opportunity:
The Data Architect will be responsible for designing, governing, and evolving the organization&rsquo;s enterprise data architecture, ensuring that data platforms are scalable, secure, interoperable, and AI-ready. This role focuses on defining data models, integration patterns, governance standards, and architecture blueprints that enable analytics, AI, and digital products at scale.
The architect will work closely with data engineers, solution architects, cloud teams, business stakeholders, and cybersecurity teams to ensure data architecture aligns with business priorities and regulatory requirements. 
Job Description:
Key Responsibilities: 
Enterprise Data Architecture &amp; Design:<ul><li>Define and maintain the enterprise data architecture blueprint, including data lakes, warehouses, streaming platforms, and analytics layers.</li><li>Design logical, physical, and conceptual data models to support operational, analytical, and AI use cases.</li><li>Ensure architecture supports scalability, performance, and high availability.</li></ul> 
Cloud Data Platforms &amp; Integration:<ul><li>Architect cloud-native data platforms using Azure (ADF, Synapse, Databricks, Fabric) and/or GCP equivalents.</li><li>Design secure hybrid architectures integrating on-premises systems with cloud data platforms.</li></ul> 
 Data Governance, Quality &amp; Security:<ul><li>Define and enforce data governance frameworks, including metadata management, data lineage, data ownership, and stewardship models.</li><li>Establish data quality standards, validation rules, and monitoring mechanisms.</li><li>Ensure compliance with ISO 27001, NIA Qatar, data privacy, and internal cybersecurity policies.</li><li>Define data security architecture including encryption, access control, and role-based data access.</li></ul> 
 Analytics, AI &amp; Advanced Use Cases:<ul><li>Design data architectures that support advanced analytics, AI/ML, and digital twin initiatives.</li><li>Collaborate with data scientists and analysts to optimize data models for analytics and AI consumption.</li></ul> 
 Architecture Governance &amp; Leadership:<ul><li>Establish data architecture standards, reference architectures, and best practices.</li><li>Review solution designs to ensure alignment with enterprise data architecture principles.</li></ul> 
Required Skills and Qualifications:<ul><li> 
Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, Information Systems, or related field.</li><li>10+ years of experience in data architecture, data engineering, or enterprise analytics roles.</li><li>Strong experience designing enterprise-scale data platforms in cloud and hybrid environments.</li><li>Expertise in data modelling (conceptual, logical, physical) and data integration patterns.</li><li>Deep understanding of data lakes, data warehouses, Lakehouse architectures, and real-time streaming platforms.</li><li>Hands-on experience with cloud data services (Azure preferred).</li><li>Strong knowledge of SQL, data transformation frameworks, and metadata management.</li><li>Familiarity with DevOps and DataOps practices.</li><li>Strong communication skills with the ability to engage both technical and business stakeholders.</li></ul> 
Technical Proficiencies:<ul><li>Expert-level proficiency in SQL and Python for data manipulation and pipeline development.</li><li>Big Data Technologies: Hands-on experience with distributed computing frameworks like Apache Spark (PySpark). Experience with streaming technologies like Kafka is a plus.</li><li>Cloud Platforms: Deep experience with Microsoft Azure (Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Azure Synapse).</li><li>Data Warehousing/Lakehouse: Proven experience with modern data platforms Databricks Delta Lake.</li><li>AI &amp; ML Knowledge: Understanding of machine learning lifecycles and the data requirements for training and deploying AI/ML models.</li><li>Orchestration: Experience with workflow orchestration tools like Airflow, Dagster, or Azure Data Factory.</li><li>Databases: Strong understanding of both relational (e.g., PostgreSQL, SQL Server) and NoSQL databases. Experience with graph databases (e.g., Neo4j) and vector databases is highly desirable.</li><li>Version Control: Proficiency with Git and CI/CD best practices.</li></ul> 
Preferred Qualifications:<ul><li>Certifications such as Azure Data Engineer Expert, Azure Solutions Architect, or equivalent.</li><li>Hands-on experience with the OSDU&trade; Data Platform.</li><li>Experience in Oil &amp; Gas, energy, or industrial data environments.</li><li>Understanding of cybersecurity considerations for OT environments and data segregation.</li><li>Experience integrating data from ERP systems like SAP.</li><li>Experience working within AI-first or analytics-driven transformation programs.</li><li>Advanced SQL skills, including query optimization and performance tuning.</li><li>Knowledge of containerization technologies (Docker, Kubernetes).</li><li>Experience of constructing and maintaining enterprise knowledge graphs.</li></ul></div></div></div>

Data Architect (Category - Architect) (Doha)

COZMALABS

We are seeking an experienced Data &amp; AI Architect &ndash; Microsoft Azure to design, architect, and lead the implementation of scalable, secure, and high-performing data and artificial intelligence solutions on the Azure platform. The ideal candidate will work closely with business stakeholders, data engineers, data scientists, and application teams to translate business requirements into modern cloud-based data and AI architectures that drive insights and innovation.Experience<ul><li>7&ndash;10 years of experience as a Data Architect on Microsoft Azure.</li><li>hands-on experience in AI/ML solutioning in Microsoft Azure.</li><li>Proven experience designing enterprise-scale cloud data platforms.</li></ul>Technical &amp; Cloud Skills<ul><li>Azure Databricks (Spark, Delta Tables)</li><li>Azure Synapse Analytics (Dedicated &amp; Serverless SQL)</li><li>Azure Data Factory</li><li>Microsoft Fabric (Lakehouse, OneLake, Warehouse)</li><li>Experience with Azure SQL, Synapse SQL, and other analytical databases (Snowflake is a plus).</li><li>Strong knowledge of Azure services including Azure AI, Azure ML, Data Factory, and Cognitive Services.</li><li>Experience building Generative AI applications, including RAG, agents, text2sql, fine-tuning, and deploying LLMs, with tools such as HuggingFace, Langchain, and OpenAI</li></ul>Key Responsibilities<ul><li>Define and own end-to-end data architecture using Azure Synapse, Databricks, Azure Data Factory, Power BI, and Microsoft Fabric</li><li>Lead the architecture and delivery of enterprise-scale AI/ML solutions aligned with business goals and emerging technologies.</li><li>Provide LLM solutions on customer data such as RAG architectures on enterprise knowledge repos, querying structured data with natural language, and content generation</li><li>Design data models, Lakehouse, and data warehouse architectures for structured and semi-structured data</li><li>Architect and govern ETL/ELT pipelines using ADF, Databricks, Synapse Pipelines, and Fabric Data Pipelines.</li><li>Implement data security, governance, and access controls across cloud data platforms.</li><li>Provide architectural guidance and optimized solutions for complex data engineering challenges.</li><li>Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike</li></ul>Job Type: Full-timeWork Location: In person

Azure Data Architect

MASTER-WORKS

<div>Master Works is excited to invite applications for the position of Enterprise Data Platform Architect. In this strategic role, you will guide the design and implementation of enterprise-wide data platforms that facilitate effective data management, analytics, and governance. You will work collaboratively with stakeholders across the organization to develop data architecture strategies that empower the business while ensuring compliance with industry standards. Your expertise will play a crucial role in optimizing data flow, storage, and accessibility, making data a valuable asset for decision-making. As a champion for best practices in data architecture, you will lead initiatives to promote data integrity, security, and scalability throughout the enterprise, ultimately transforming the way Master Works leverages its data assets for business success.<h3 class="jobSectionHeader">
Key Responsibilities</h3><ul>
<li>Architect, implement, and maintain enterprise-scale data solutions, combining data virtualization (Denodo) and big data ecosystem technologies (Cloudera, Hadoop, Spark, Hive, Kafka, etc.).
</li><li>Integrate complex structured and unstructured data sources (SQL/NoSQL, cloud platforms, applications) into unified, high-performance data layers.
</li><li>Design, optimize, and monitor large-scale data pipelines, virtual views, and workflows for high-performance, low-latency access.
</li><li>Implement and enforce data governance, security, and access control policies across all data platforms.
</li><li>Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable and robust solutions.
</li><li>Troubleshoot, monitor, and continuously improve system performance, reliability, and scalability.
</li><li>Maintain best practices, documentation, and knowledge sharing for enterprise data platforms.</li>
</ul>
Requirements<ul>
<li>
Extensive experience with Denodo Platform, Cloudera Hadoop ecosystem, and enterprise data virtualization.
</li><li>Strong expertise in SQL, data modeling, query optimization, and distributed computing concepts.
</li><li>Proficient in big data tools: Spark, Hive, Impala, HBase, Kafka, and Sqoop.
</li><li>Solid understanding of ETL processes, data integration, and cloud data services.
</li><li>Proven ability to manage complex, enterprise-scale data projects with high-quality results.
</li><li>Excellent problem-solving, analytical, and communication skills.
</li><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or related field.</li>
<li>Minimum 7+ years of experience in related filed</li></ul></div>

Data Platform Architect

Raqmiyat

<div><div><h3 class="jobSectionHeader">Job Information</h3>
<ul><div>Date Opened
<div>12/30/2025
</div></div><div>Job Type
<div>Full time
</div></div><div>Job Opening Status
<div>In-progress
</div></div><div>Work Experience
<div>5+ years
</div></div><div>Industry
<div>FMCG/Foods/Beverage
</div></div><div>City
<div>Dubai
</div></div><div>State/Province
<div>Dubai
</div></div><div>Country
<div>United Arab Emirates
</div></div><div>Zip/Postal Code
<div>337-1500
</div></div></ul></div><div><h3 class="jobSectionHeader">About Us</h3>
<div><div>Raqmiyat is a UAE-based IT and digital transformation company specializing in consulting, staffing, and enterprise technology solutions. We empower banking, government, and enterprise clients across the Middle East to achieve their digital objectives.</div> 
</div><h3 class="jobSectionHeader">Job Description</h3>
<div><div>The Data Architect is responsible for designing, governing, and optimizing enterprise data architecture spanning Oracle Fusion ERP and non-Oracle analytics platforms such as Snowflake, Power BI, and cloud data lakes. 
</div><div>
The role ensures accurate, traceable, and compliant data flows across procure-to-pay, plan-to-produce, quality, inventory, and order-to-cash processes in a Food &amp; Beverages manufacturing context.</div> 
Key Responsibilities 
1. Oracle Fusion &amp; Manufacturing Data Architecture 
<ul><li>
Architect end-to-end data flows across: 
</li><ul><li>
Oracle Fusion Financials, SCM, Manufacturing, Inventory, Quality, and Procurement 
</li></ul><li>
Understand F&amp;B manufacturing data models, including: 
</li><ul><li>
Batches, lots, recipes, BOMs, yields, scrap, and rework 
</li><li>
Shelf life, expiry, and traceability 
</li></ul><li>
Design ERP data extensions while minimizing customization 
</li><li>
Govern quarterly Oracle Fusion releases and data impact</li></ul> 
2. Enterprise Analytics Architecture (Oracle + Non-Oracle) 
<ul><li>
Design analytics architecture using: 
</li><ul><li>
Snowflake (or equivalent cloud data warehouse) 
</li><li>
Power BI for enterprise reporting and self-service analytics 
</li><li>
Optional data lake / streaming platforms 
</li></ul><li>
Define canonical data models for: 
</li><ul><li>
Production efficiency (OEE, yield, variance) 
</li><li>
Quality &amp; compliance reporting 
</li><li>
Costing, margin, and inventory analytics 
</li></ul><li>
Ensure metric consistency between OTBI, OAC (if used), and Power BI</li></ul> 
3. Data Integration &amp; Pipelines 
<ul><li>
Define integration patterns using: 
</li><ul><li>
Oracle BICC, OTBI extracts, REST APIs 
</li><li>
OIC or non-Oracle iPaaS tools 
</li><li>
Batch and near-real-time pipelines 
</li></ul><li>
Integrate Fusion with: 
</li><ul><li>
MES, LIMS, WMS 
</li><li>
Supplier, logistics, and distributor systems 
</li></ul><li>
Optimize latency for operational and executive reporting</li></ul> 
4. Manufacturing, Quality &amp; Traceability Data 
<ul><li>
Architect data models supporting: 
</li><ul><li>
Lot &amp; batch genealogy 
</li><li>
Ingredient traceability (farm-to-fork) 
</li><li>
Recall readiness and regulatory audits 
</li></ul><li>
Enable analytics for: 
</li><ul><li>
Quality deviations and root cause analysis 
</li><li>
Waste reduction and yield optimization 
</li><li>
Shelf-life and expiry risk monitoring</li></ul></ul> 
5. Data Governance, MDM &amp; Quality 
<ul><li>
Define master data strategy across: 
</li><ul><li>
Items, suppliers, customers, recipes, plants 
</li></ul><li>
Establish data ownership and stewardship 
</li><li>
Define data quality rules and reconciliation controls 
</li><li>
Support metadata, lineage, and auditability</li></ul> 
6. Security, Privacy &amp; Compliance 
<ul><li>
Protect sensitive data: 
</li><ul><li>
Financials, supplier contracts, formulations, PII 
</li></ul><li>
Design role-based access across ERP and analytics platforms 
</li><li>
Ensure compliance with: 
</li><ul><li>
Food safety regulations 
</li><li>
Internal audit and SOX (if applicable) 
</li><li>
Data privacy regulations</li></ul></ul> 
7. Architecture Governance &amp; Stakeholder Management 
<ul><li>
Participate in Architecture Review Boards 
</li><li>
Provide design assurance for ERP, manufacturing, and analytics initiatives 
</li><li>
Guide system integrators and analytics vendors 
</li><li>
Collaborate with Manufacturing, Quality, Finance, and Supply Chain teams</li></ul> 
Key Deliverables 
Oracle Fusion Snowflake<ul><li> Power BI Reference Architecture 
</li><li>
Manufacturing &amp; Quality Data Models 
</li><li>
Canonical ERP-to-Analytics Data Definitions 
</li><li>
Data Governance &amp; MDM Framework 
</li><li>
Integration &amp; Pipeline Design Documents 
</li><li>
Architecture Review &amp; Compliance Reports</li></ul><div></div><h3 class="jobSectionHeader"> 
Requirements</h3>
Required Skills &amp; Experience<div> 
Oracle &amp; ERP 
</div><ul><li>
Strong experience with: 
</li><ul><li>
Oracle Fusion ERP (SCM, Manufacturing, Inventory, Financials) 
</li><li>
Fusion data models and BICC / OTBI 
</li><li>
Oracle Integration Cloud or equivalent</li></ul></ul></div></div></div>

Data Architect

Majid Al Futtaim

<div>
 
 
 BUSINESS INTRODUCTION
 
 
 
 Majid Al Futtaim Holding is the leading shopping mall, retail, communities, entertainment developer and operator in the Middle East, North Africa, and Central Asia regions. With over 43,000 people, revenues of over US$ 11 Billion, and operations in 18 countries. Some of the iconic brands we carry include Mall of the Emirates, Carrefour, All Saints, Lego, City Center, Abercrombie &amp; Fitch, &amp; Vox Cinemas. We believe in making Great Moments for Everyone, Every day.
 
 
 
 
 
 
 JOB TITLE
 
 
 
 Data Architect | Majid Al Futtaim Properties
 
 
 
 
 
 
 ROLE SUMMARY
 
 
 
 The
 
 Data Architect
 
 will play a pivotal role in shaping the future of Majid Al Futtaim Asset Management&rsquo;s data landscape. This role is responsible for defining and aligning the data technology strategy, overseeing enterprise architecture, and designing a unified application and data ecosystem across the organization.
 
 
 
 
 
 
 ROLE PROFILE
 
 
 <ul>
 <li>
 Develop and communicate a clear, enterprise-wide technology strategy aligned with business and innovation goals.
 </li>
 <li>
 Evaluate digital maturity, identify capability gaps, and drive a transformation roadmap toward a fully digital operating model.
 </li>
 <li>
 Champion adoption of emerging technologies (AI, cloud, automation) to accelerate business performance.
 </li>
 <li>
 Establish and lead enterprise architecture covering data, applications, technology, and business processes.
 </li>
 <li>
 Guide cross-functional alignment through capability modeling, value stream mapping, and strategic scenario planning.
 </li>
 <li>
 Develop a unified data architecture and modelling framework to support scalable analytics and AI use cases.
 </li>
 <li>
 Lead the design and implementation of data governance frameworks, standards, and privacy policies.
 </li>
 <li>
 Ensure compliance with Majid Al Futtaim-wide data handling policies and regulatory requirements.
 </li>
 <li>
 Oversee development of modern, cloud-based data integration pipelines and infrastructure.
 </li>
 <li>
 Act as a strategic advisor to business teams, translating data needs into technical solutions.
 </li>
 <li>
 Support delivery of analytics and automation solutions that generate measurable impact.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Engineering, Business, or related discipline.
 </li>
 <li>
 10&ndash;12 years of experience in technology, data, or architecture leadership roles
 </li>
 <li>
 Minimum 4 years of direct experience in solution development (e.g., application architecture, middleware, data platforms).
 </li>
 <li>
 Strong understanding of modern technology ecosystems: SaaS, IaaS, PaaS, microservices, APIs, open data, SOA, event-driven architecture, and predictive analytics.
 </li>
 <li>
 Proficiency in data modeling, integration, governance, and quality management at scale.
 </li>
 <li>
 Exceptional communicator&mdash;able to translate complex technical topics for both technical and business stakeholders.
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER
 
 
 <ul>
 <li>
 At Majid Al Futtaim, we&rsquo;re on a mission to create great moments, to spread happiness, to build, experiences that stay in our memories for a lifetime. We&rsquo;re proud to say that over the past 27 years, we have built a reputation as a regional market leader in what we do. Join us!
 </li>
 <li>
 Work in a friendly environment, where everyone shares positive vibes and excited about our future.
 </li>
 <li>
 Work with over 45,000 diverse and talented colleagues, all guided by our Leadership Model.
 </li>
 </ul>
 
 
</div>

Search 10000+ Enterprise data architect jobs near you this January. New roles added regularly across leading industries. Apply today.

10000 enterprise data architect jobs NEAR_ME

Data Architect – AWS, Data Migration & Lakehouse

Enterprise Architect - DV Cleared, Defence

Data Architect (Category - Architect) (Doha)

Azure Data Architect

Data Platform Architect

Data Architect

Data Architect