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data architect

BlackStone eIT

<p>BlackStone eIT is at the forefront of data-driven decision-making and innovation. We are currently looking for a talented and motivated Data Architect to join our dynamic team. As a Data Architect at BlackStone eIT, you will play a critical role in designing and implementing data solutions that support our strategic goals and enhance our clients' business processes.</p> <p>Your responsibilities will include creating robust data architectures, ensuring data quality and integrity, and optimizing data flow across various systems. You will collaborate closely with stakeholders to understand their data needs and translate them into effective technical solutions. This position requires a mix of strong technical skills and the ability to communicate effectively with both technical and non-technical team members.</p> <br><b> Key Responsibilities </b><ul> <li>Design, develop, and manage scalable data architectures aligned with business goals.</li> <li>Create and maintain data models, data flows, and integrated data solutions.</li> <li>Collaborate with data engineers and data analysts to ensure seamless data integration and quality.</li> <li>Implement data governance and best practices for data management.</li> <li>Optimize database performance, ensuring efficient data storage and retrieval.</li> <li>Stay current with emerging trends and technologies in data architecture.</li> <li>Provide technical guidance and support to cross-functional teams.</li> </ul>

Data Architecture (2-Month) Contract

Michael Page

<p>Architect and scale data pipelines using Azure Data Factory, Synapse, and Databricks</p><p>Build AI/ML pipelines that power investment insights and automation tools</p><p>Engineer seamless data flows from trading systems, market feeds, and financial platforms</p><p>Design smart data models for analytics, risk, and compliance reporting</p><p>Collaborate with investment teams to turn data into strategic advantage</p><p>Drive performance, security, and cost-efficiency across cloud data systems</p><p>Champion data governance with robust documentation and access controls</p>

AI Data Engineer

Codvo.ai

<div><div><div><p><b>Job Title:</b> Databricks Solution Architect</p><p><b>
Experience:</b> 10+ years</p><div>
Location - Dubai</div><p></p><p><b><br>
About Us</b></p><p>
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.</p><div></div><p><b><br>
Senior / Expert Databricks Solutions Architect &mdash; Job Description</b></p><p><b>
About the role</b></p><p>
We are seeking a highly experienced Solutions Architect to lead the design and delivery of end-to-end data and analytics solutions on the Databricks platform. You will translate complex business needs into scalable, secure, and cost-efficient data lakehouse architectures, collaborate with cross-functional teams, and guide customers from concept through implementation and adoption.</p><p><b>
What you&rsquo;ll do (Responsibilities)</b></p><ul><li>Engage with business stakeholders to understand goals, data sources, and analytic use cases; translate into a holistic Databricks-based solution.</li><li>Design scalable data lakehouse architectures on Databricks (Delta Lake, Databricks SQL, Unity Catalog, Delta Live Tables) that support data ingestion, cleansing, modeling, governance, security, and analytics.</li><li>Lead technical architecture decisions and produce high-quality artifacts (reference architectures, solution blueprints, data models, data governance models, and integration plans).</li><li>Architect data pipelines end-to-end (ingestion, transformation, storage, cataloging) with best practices for reliability, observability, and cost optimization.</li><li>Enable data science and ML workflows on Databricks (MLflow, feature store, notebooks, Automated ML) and design end-to-end MLOps strategies.</li><li>Ensure data governance, security, and compliance (IAM, encryption, Unity Catalog, data masking, lineage, access controls).</li><li>Collaborate closely with data engineers, data scientists, software engineers, and DevOps to deliver production-ready solutions; implement CI/CD for data and ML pipelines.</li><li>Lead customer-facing activities: workshops, solution demos, proofs of concept, and responses to RFPs/RFIs; provide strategic guidance on platform adoption and ROI.</li><li>Mentor and coach junior architects and engineers; develop training materials and run knowledge-sharing sessions.</li><li>Monitor performance, optimize SQL and Spark workloads, manage cluster configurations, and drive cost/performance improvements.</li></ul><p><b>
What you&rsquo;ll bring (Required qualifications)</b></p><ul><li>8+ years of experience in solutions/enterprise architecture or senior data engineering roles; 3+ years of hands-on experience with the Databricks platform and Spark-based architectures.</li><li>Deep expertise in Databricks components: Delta Lake, Unity Catalog, Databricks SQL, Delta Live Tables, notebooks, and orchestration patterns.</li><li>Strong cloud experience (AWS, Azure, or GCP) with data storage and compute services (e.g., S3/Blob, ADLS, GCS, Redshift, BigQuery, Synapse, EMR/Databricks on cloud).</li><li>Proficiency in data integration and orchestration tools (e.g., Apache Airflow, dbt, Kafka, Spark Structured Streaming).</li><li>Advanced SQL and programming skills (Python or Scala); ability to prototype and review data pipelines, models, and analytics solutions.</li><li>Excellent communication and stakeholder management skills; ability to present complex technical concepts to both technical and non-technical audiences.</li><li>Experience delivering large-scale data lakehouse migrations/transformations, performance tuning, and cost optimization.</li><li>Databricks certification(s) or equivalent demonstrable expertise; willingness to obtain relevant certifications if not already held.</li></ul><p><b>
Preferred qualifications</b></p><ul><li>Experience with ML and MLOps on Databricks (MLflow, feature stores, model registry, CI/CD for ML).</li><li>Domain expertise in industries such as financial services, healthcare, retail, or telecommunications.</li><li>Familiarity with data governance, privacy regulations, and security frameworks (e.g., GDPR, HIPAA, SOC 2).</li><li>Familiarity with real-time data processing and streaming architectures.</li><li>Prior experience in pre-sales or solutioning for customers, including building compelling ROI stories and technical demos.</li></ul><p><b>
About you (soft skills and capabilities)</b></p><ul><li>Strategic thinker with a hands-on mindset; comfortable operating at both business and technical levels.</li><li>Strong analytical, problem-solving, and decision-making capabilities.</li><li>Collaborative team player who can lead without authority and influence stakeholders.</li><li>Comfortable working in a fast-paced, client-facing environment with travel as needed.</li><li>Submit your resume/CV and a brief cover letter outlining your Databricks projects and impact.</li><li>Include links to relevant work (e.g., public case studies, GitHub repositories, or portfolio demos) if available.</li></ul></div></div></div><p></p>

Databricks Solution Architect(UAE)

Client of Linking Humans

<p> As the ServiceNow Enterprise Architect, you will act as the bridge between business vision and technical execution. You will own the enterprise-wide ServiceNow roadmap, define architectural standards, and drive alignment across global teams.</p>
<p> Key Responsibilities</p>
<ul>
<li>Design and maintain the ServiceNow enterprise architecture and roadmap across multiple business areas.<br></li>
<li>Partner with senior stakeholders to translate business objectives into scalable, future-proof platform solutions.<br></li>
<li>Govern integrations, data models, and standards to ensure platform consistency and resilience.<br></li>
<li>Provide strategic guidance to solution and technical architects across major ServiceNow implementations.<br></li>
<li>Conduct platform maturity reviews and define improvement initiatives.<br></li>
<li>Champion new capabilities within Now Assist, AI, and Automation Engine to enhance value delivery.<br></li>
</ul>
<p>Requirements</p>
<ul>
<li>Proven experience in ServiceNow architecture across multiple modules (ITSM, ITOM, HRSD, CSM, or SPM).<br></li>
<li>Strong knowledge of enterprise architecture frameworks such as TOGAF or IT4IT.<br></li>
<li>Ability to influence at C-suite level and lead discussions around digital transformation strategy.<br></li>
<li>Relevant ServiceNow certifications (CIS, CMA, CTA, or equivalent) preferred.<br></li>
<li>Excellent communication and leadership skills, with a focus on delivering tangible outcomes.<br></li>
</ul>

ServiceNow Enterprise Architect

EMIRATES GLOBAL ALUMINIUM (EGA)

<p>KEY ACCOUNTABILITIES:</p><ul><li>Data Architecture Design: Lead data architecture design to support real-time event streaming, data products, and different machine learning models solving optimisation, computer vision and LLM’s problems. This involves creating blueprints for data management systems to integrate, centralize, protect, and maintain the data sources.</li><li>System Development: Lead the design and support the implemention of large-scale data processing systems capable of handling the volume, velocity, and variety of data that needs to be analyzed and processed.</li><li>Data Strategy: Contribute and support of EGA’s data strategy, including the use of new technologies and practices, to improve the quality, reliability, and efficiency of data extraction and its use in machine learning and data product applications.</li><li>Data Modelling & Management: Spearhead the creation and maintenance of conceptual, logical, and physical data models, supporting both operational and AI use cases. Oversee data integrity and quality assurance processes across upstream, midstream and downstream.</li><li>Machine Learning Framework: Lead the design of the ML OPs framework and define Design workflows and processes that accelerate the development and deployment of machine learning models, ensuring that ML models are production-ready and scalable.</li><li>Data Governance: Lead and contribute to define policies and procedures for data governance in collaboration with the data protection officer and other stakeholders, ensuring compliance with data privacy and protection laws. Lead efforts of data governance platform integration.</li><li>Collaboration: Collaborate with IT teams, data engineers, and senior stakeholders to ensure that the data architecture supports and helps achieve strategic objectives. Lead in proposing, buy in and drive the end solution.</li><li>Communicate effectively complex data concepts, solutions, proposals in simple language to non-technical team members and senior leaders (Senior Director,C level, Executive Committee).</li><li>Mentorship and Leadership: Act as a mentor to data engineers (4-8), providing guidance and support in their professional development. Promote a culture of performance, collaboration, and continuous learning within the data team.</li><li>Innovation and Continuous Improvement: Stay up-to-date with industry trends and new technologies. Continuously explore innovative solutions and enhancements to the existing data architecture to improve its scalability, reliability, and efficiency. Championing and driving initiatives like event sourcing, data contracts & schema registries, data lineage and automation downstream.</li><li>Problem Solving: Drive solutions, anticipate and contribute to resolve technical issues before they become roadblocks, maintaining the continuity of data flow and ensuring the highest levels of data quality and integrity, I.e. alerting & monitoring strategy, change request frame work and automation, scaling up and data partitioning strategy</li><li>Project Management: Coordinate and indirectly manage data-related projects (15-20 use cases every 3 month waves), ensuring they are completed on time and within budget, meeting or exceeding stakeholder expectations.</li></ul><p>AUTHORITY/ DECISION MAKING:</p><ul><li>Design authority on data architecture, governance and technology selection to support scale up ambitions of 50-60 usecases a year.</li><li>Validate data security protocols and resource allocation decisions based on usecase requirements.</li><li>Validation of technical design and solutions to support 10 digital capabilities based on industry4.0 principles</li></ul>

Head of Data Architecture

<div><div><b><i>About Emirates Global Aluminium</i></b><i>
</i></div><div>Emirates Global Aluminium is the world&rsquo;s biggest &lsquo;premium aluminium&rsquo; producer and the largest industrial company in the United Arab Emirates outside the oil and gas industry. EGA is an integrated aluminium producer, with operations on four continents from bauxite mining to the production of cast primary aluminium and recycling. EGA employs over 7,000 of these people including more than 1,200 UAE Nationals. EGA operates aluminium smelters in Jebel Ali and Al Taweelah in the United Arab Emirates, an alumina refinery in Al Taweelah, a bauxite mine and associated export facilities in the Republic of Guinea, a speciality foundry in high strength recycled aluminium in Germany, and a recycling plant in the United States.</div>
<div>
JOB PURPOSE:</div>
<div>
To lead and oversee the strategic development and implementation of the organization's enterprise architecture, to shape and align the technology landscape with business goals, and to ascertain scalability, flexibility, and security. To drive the creation of a cohesive and integrated architecture that optimizes technology investments, fosters innovation, and enhances overall organizational efficiency.</div><br>
<div></div>
<div>
KEY ACCOUNTABILITIES:</div>
<ul>
<li>Spearhead the creation or evolution of the Enterprise Architecture (EA) function, facilitating a balanced pursuit of enterprise information systems, data, technical, and solution architecture viewpoints.</li>
<li>Lead, design, and own the target state enterprise architecture (Level-0 to Level 4 of Purdue model), the enterprise roadmap, and governance processes required to meet future needs involving data architects, solution architects, security architects, infrastructure architects, and business architects.</li>
<li>Formulate perspectives on emerging technologies, assess their relevance to business goals and operational requirements, and advocate for a comprehensive understanding of industry trends.</li>
<li>Lead the identification and analysis of enterprise business drivers, deriving architecture requirements and analyzing industry trends for potential impacts on the enterprise.</li>
<li>Analyze the current business and IT environment, detect critical deficiencies, and recommend solutions for improvement.</li>
<li>Make informed decisions regarding the development of Enterprise Architecture strategy and principles, considering overall IT strategy decisions and incorporating new technologies.</li>
<li>Establish guiding principles, standards, and architecture strategy across infrastructure, data, security, application, and solution domains, influencing the development of the system landscape.</li>
<li>Prepare strategic trade-off decisions for senior management, securing organizational commitment for enterprise-level architecture initiatives. Drive the planning, development, and administration of proof-of-concept and special projects aligned with strategic initiatives.</li>
<li>Develop models for compliance architecture, monitor and measure architecture performance against global benchmarks, and ensure compliance in critical areas such as data storage, metadata management, regulatory compliance, and change control.</li>
<li>Formulate and maintain policies, processes, metrics, and governance structures, ensuring that solutions exhibit resilience, scalability, cost-efficiency, and effectiveness.</li>
<li>Establish and lead the architecture review board, enabling the alignment of all solution deployments and proactively resolving potential architectural conflicts.</li>
<li>Act as a representative of Enterprise Architecture in executive and strategic business meetings, committees, external relations, and audits.</li>
<li>Identify opportunities for continuous improvement of the department&rsquo;s systems, processes, and practices considering international best practices, improvement of business processes and cost optimization.</li>
<li>Research relevant regional and global market trends to stay up to date with best practices and drive relevant initiatives for improvements.</li>
<li>Enable compliance with all policies and procedures, as well as to controls related to quality, health, safety, environmental management, guaranteeing employee and assets safety and legislative compliance.</li></ul><br>
<div></div>
<div>
AUTHORITY/ DECISION MAKING:</div>
<div>
Key decisions having significant impact on the department are referred to the reporting manager for approval before implementation.</div>
<div>
Job holder exercises financial authority as per the level established by the company board and stipulated in the authority matrix.</div><br>
<div></div>
<div>
QUALIFICATIONS &amp; SKILLS:</div>
<div>
Minimum Qualifications:</div>
<ul>
<li>Bachelor&rsquo;s Degree in Business, Computer Science, Computer Engineering, Electrical Engineering, System Analysis, or a related field from a reputable university. (Master&rsquo;s Degree preferred)</li>
<li>Practitioner qualification in Zachman Framework, FEAF, DoDAF, TOGAF, or equivalent.</li></ul><br>
<div></div>
<div>
Minimum Experience:</div>
<ul>
<li>7-10 years of experience in a similar role</li></ul><br>
<div></div>
<div>
Job-Specific Skills (Generic / Technical):</div>
<ul>
<li>Excellent experience working in an Agile environment with a clear understanding of key roles and practices, with specific Enterprise Architect (or similar) experience preferred (7-10 years)</li>
<li>A thorough understanding of Software as a Service (SaaS), Platform as a Service (PaaS), Internet as a Service (IaaS), and various cloud-related concepts/models</li>
<li>A keen awareness of regional laws and regulations pertaining to data privacy, data locality, data retention, data protection, and compliance, particularly in the context of a global company</li>
<li>Ability to integrate architectural processes with Agile practices</li>
<li>Advanced customer service orientation</li>
<li>Ability to work in a team environment and sometimes independently with minimal supervision as the task may be from time to time</li>
<li>Strong conflict management, facilitation, and resolution skills</li>
<li>Excellent use of the English (must) and Arabic language (preferred)</li>
<li>Excellent relationship building skills</li>
<li>Extensive skill handling personnel from a multi-cultural work environment</li>
<li>Excellent verbal and written communication and presentation skills</li>
<li>Ability to scan the external environment and to understand the impact on the business</li>
<li>Excellent decision making and problem-solving skills</li>
<li>Good understanding of KSA and EGA culture and working environment.</li></ul></div>

Head of Enterprise Architecture

Whiteshield

<div><p>Whiteshield is a global policy advisory and AI economics firm known for our ability to respond to global challenges rapidly and incisively. We use the most advanced tools and technology and combine them with our team of leading international experts to engage decision-makers in tackling society's most significant challenges. We are recognized for our rapid decision support, innovation, data science algorithms and deep policy expertise. We are specialists in &quot;connecting the dots&quot; between policy, business and technology.</p><p></p><p>
Whiteshield X is Whiteshield&rsquo;s product business, hosting our PaaS and SaaS product offering. Partnered with Google Cloud, we bring advanced solutions to governments around the world to drastically improve citizen outcomes in areas such as employment, trade, and education. We develop a host of different SaaS modules from job matching to managing scholarship programs, and from delivering financial support to growth support for SMEs. These modules support governments around the world with delivering G2C and G2B services efficiently and significantly improve policy outcomes.</p><p></p><p>
We are seeking a Senior Data Engineer who combines deep technical expertise with architectural vision to build the next generation of AI-accelerated data platforms.</p><p></p><p>
You will play a pivotal role in defining and implementing the organization&rsquo;s data architecture and platform strategy &mdash; ensuring that data is reliable, well-structured, and easily consumable across systems and applications. This is both a strategic and hands-on position: you&rsquo;ll design scalable architectures, build data pipelines, and collaborate with application and product teams to embed data excellence into every part of the technology stack.</p><p></p><p>
If you&rsquo;re passionate about data craftsmanship, AI-driven automation, and modern cloud-native ecosystems, this is an opportunity to make a large-scale impact.</p><p></p><p><b>
What You'll Do</b></p><p></p><ul><li>
Data Architecture &amp; Strategy</li></ul><p></p><ul><li>
Define and maintain the enterprise data architecture blueprint, spanning ingestion, lake, warehouse, and semantic layers.</li></ul><p></p><ul><li>
Collaborate closely with application and platform teams to design robust data strategies &mdash; ensuring alignment between application design, API contracts, and long-term data scalability.</li></ul><p></p><ul><li>
Develop integration patterns and governance models that support cross-platform interoperability, data lineage, and secure data sharing.</li></ul><p></p><ul><li>
Partner with cloud architects to ensure performance, scalability, and compliance across Azure environments.</li></ul><p></p><ul><li>
Data Engineering &amp; Orchestration</li></ul><p></p><ul><li>
Build and optimize end-to-end data pipelines using Apache Airflow, Azure Fabric, Azure Data Factory, and SSIS &mdash; integrating diverse data sources (transactional, streaming, and analytical).</li></ul><p></p><ul><li>
Implement AI-accelerated data processing for intelligent schema mapping, deduplication, and performance optimization.</li></ul><p></p><ul><li>
Develop and maintain ETL/ELT frameworks using SQL and Python (Pandas, PySpark) for high-volume, low-latency data movement.</li></ul><p></p><ul><li>
Data Modeling &amp; Warehousing</li></ul><p></p><ul><li>
Design semantic data models, dimensional schemas, and data marts using SSAS, PostgreSQL, MSSQL, and Azure Synapse/Fabric.</li></ul><p></p><ul><li>
Collaborate with BI and analytics teams to support dashboards, reports, and forecasting tools with clean, contextualized, and well-documented data models.</li></ul><p></p><ul><li>
Performance, Quality &amp; Governance</li></ul><p></p><ul><li>
Define standards for data quality, lineage, observability, and access control.</li></ul><p></p><ul><li>
Implement automated validation, monitoring, and reconciliation mechanisms.</li></ul><p></p><ul><li>
Work with governance and security teams to ensure compliance with national and organizational data frameworks.</li></ul><p></p><ul><li>
Collaboration &amp; Enablement</li></ul><p></p><ul><li>
Partner with application engineers, data scientists, and business analysts to deliver AI-ready, high-quality data products.</li></ul><p></p><ul><li>
Act as a bridge between application development and data architecture, ensuring consistent data design across services.</li></ul><p></p><ul><li>
Mentor junior data engineers and champion best practices in modern data engineering and DevOps for data.</li></ul><p></p><p><b>
Requirements</b></p><p><b>
Qualifications</b></p><p></p><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Data Engineering, or a related discipline.</li></ul><p></p><ul><li>
6+ years of experience in data engineering and architecture, preferably in complex or government-scale environments.</li></ul><p></p><p><b>
Expertise in:</b></p><p></p><ul><li>
Orchestration: Apache Airflow, Azure Data Factory, or equivalent.</li></ul><p></p><ul><li>
ETL / BI Stack: SSIS, SSAS, dbt, Power BI semantic models.</li></ul><p></p><ul><li>
Databases: MSSQL, PostgreSQL, Azure Synapse, Azure Fabric Data Lake.</li></ul><p></p><ul><li>
Cloud Platforms: Deep knowledge of Azure (Fabric, Synapse, Blob, Data Lake, Functions, Logic Apps). Google Cloud is a plus.</li></ul><p></p><ul><li>
Languages: SQL and Python (Pandas, PySpark); experience with CI/CD pipelines and GitOps practices.</li></ul><p></p><ul><li>
Demonstrated experience designing AI-ready architectures and leveraging machine learning for data enrichment and automation.</li></ul><p></p><ul><li>
Strong understanding of data governance, interoperability standards, and scalable architecture design patterns.</li></ul><p><b>
Benefits</b></p><p><b>
WHY CHOOSE US |</b></p><p><b>
Our Commitment to Equal Opportunities:</b> At Whiteshield, we are committed to providing equal opportunities in employment regardless of individual characteristics. We recognize that our employees feel appreciated when their thoughts and values are respected and considered. We&rsquo;re committed to maintaining and driving an inclusive culture and workplace where all talents are nurtured and feel empowered to contribute.</p><p><b>
Celebrating Achievements:</b> At Whiteshield, we seek to reward those who demonstrate exceptional individual achievements above and beyond expectations in the pursuit of continuously seeking excellence for our clients. When individuals excel, we show our appreciation and celebrate achievements by generously recognizing and supporting the career progression of those who make unique contributions to the firm.</p><p><b>
Empowering Our People:</b> At Whiteshield, we recognize that our employees are the core to our success and believe that when our exceptional talent comes together, and wellbeing is a priority &ndash; innovation thrives. We are dedicated to promoting and encouraging a healthy work-life balance and adopting a genuinely flexible working model to empower our employees to pursue a balance that suits their personal needs.</p></div>

Senior Data Engineer - AI-Accelerated Data Architecture & Platforms

Explore 4259+ Data architect in Dubai United Arab Emirates this November. Find roles across top companies and apply now to boost your career.