enterprise data architect

edari

<div>
 <p>
  We are looking to hire a
  <strong>
   Data Architect
  </strong>
  who will be responsible for defining and governing enterprise data architecture, designing scalable data platforms, and enabling AI/ML workloads for our client based in
  <strong>
   Dubai- one of the largest semi-government in the region
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  This position is a contract role with an initial duration of
  <strong>
   6 months
  </strong>
  and is
  <strong>
   renewable based on performance
  </strong>
  .
 </p>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a passionate a
  <strong>
   Data Architect
  </strong>
  who can drive enterprise data strategy and ensure scalable, secure, and AI-ready data platforms. You should also have experience in Azure data platform, ETL/ELT frameworks, API-based integrations, and data governance frameworks.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Key Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   Define, develop, and maintain enterprise data architecture blueprints, including conceptual, logical, and physical models.
  </li>
  <li>
   Architect and implement scalable data platforms such as Data Lakes, Data Warehouses, Lakehouses, MDM systems, and real-time streaming solutions.
  </li>
  <li>
   Establish patterns for data ingestion, transformation, storage, and consumption.
  </li>
  <li>
   Design integration architectures spanning applications, APIs, and external data sources.
  </li>
  <li>
   Assess, evaluate, and recommend modern data technologies to meet evolving business needs.
  </li>
  <li>
   Develop reference architectures for real-time data processing, batch ingestion, API-driven integrations, and AI/ML enablement.
  </li>
  <li>
   Own enterprise data models and canonical definitions, enforcing standards for naming conventions, data quality, metadata management, and MDM practices.
  </li>
  <li>
   Ensure adherence to regulatory frameworks (e.g., GDPR) and organizational security standards.
  </li>
  <li>
   Enable AI/ML initiatives by supporting data readiness, feature stores, model lifecycle management, and data lineage tracking.
  </li>
  <li>
   Collaborate closely with Enterprise Architecture, Data Engineering, BI &amp; Analytics teams, and business domain stakeholders.
  </li>
  <li>
   Present strategic architectural recommendations and insights to senior leadership to guide data-driven decision-making.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Knowledge, Skills &amp; Experience:
  </strong>
 </p>
 <ul>
  <li>
   Minimum
   <strong>
    10 years
   </strong>
   of experience in enterprise data architecture.
  </li>
  <li>
   Strong experience in Azure.
  </li>
  <li>
   Hands on experience in
   <strong>
    Palantir
   </strong>
   is an advantage
  </li>
  <li>
   Expertise in data modeling methodologies (Kimball, Data Vault, Canonical models) is an advantage,
  </li>
  <li>
   Strong experience in ETL/ELT frameworks and API-based integrations.
  </li>
  <li>
   Understanding of data governance frameworks.
  </li>
  <li>
   Experience supporting AI/ML workloads preferred.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Availability:
  </strong>
 </p>
 <ul>
  <li>
   Preference w ill be given to candidates available immediately after accepting the offer.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  We are looking for a candidate who will be able to work in
  <strong>
   United Arab Emirates
  </strong>
  . Please apply with your resume and provide your contact details. We will review your application within 7 working days. Should your profile fit the requirements of the role, a consultant from
  <strong>
   Edari
  </strong>
  will be in touch to discuss the role and potential next steps.
 </p>
</div>


Data Architect

Renown Health

<div><div><div><div><div><div><p><b>Position Purpose</b></p><br>
</div></div><br>
<div><div><div><div><div><div><div><div><div><div><p>The Enterprise Architect enables the Enterprise Architecture (EA) function by defining, governing, and evolving enterprise technology and solution architectures that advance clinical care, patient access, operational efficiency, research, and digital innovation. Working across business stakeholders, domain architects, engineering, cybersecurity, data/analytics, clinical informatics, and strategic vendors, the role produces and maintains clear architecture assets, principles, capability maps, reference architecture, patterns, standards, and roadmaps. The Enterprise Architect ensures technology decisions aligning to enterprise and clinical strategy and provides architectural guidance to delivery teams to implement solutions that are interoperable, secure, scalable, compliant, and operationally sustainable.</p><br>
</div></div><br>
</div></div></div></div><br>
</div></div></div></div><br>
</div></div><p></p><div><div><div><div><p><b>Nature and Scope</b></p><br>
</div></div><br>
<div><div><div><div><div><div><div><div><div><div><p>Primary Responsibilities:</p>
<ul><li>Produce and maintain current/future state architecture views (capability, application, integration, data, and infrastructure).</li>
<li>Develop solution options with trade-offs (cost, risk, time-to-value, technical debt, clinical impact) and present recommendations to stakeholders.</li>
<li>Contribute to the development of enterprise standards (integration patterns, infrastructure, and data patterns)</li>
<li>Translate enterprise strategy into sequenced road maps with dependencies, risks, and measurable outcomes.</li>
<li>Identify duplication and rationalization opportunities across applications/integration/data platforms.</li>
<li>Maintain architecture artifacts that support capital planning, vendor strategy, and modernization initiatives.</li>
<li>Participate in discovery and design for key initiatives; ensure solutions align with target architecture and non-functional requirements (availability, resiliency, performance, observability).</li>
<li>Review solution designs for interoperability, privacy, and security alignment; ensure architectural decisions are recorded.</li>
<li>Partner with Security and Privacy to ensure architectures address security and compliance requirements.</li>
<li>Create reusable architecture content (patterns, templates, decision records) and mentor technical teams on how to apply them.</li><br>
</ul><p></p><p>This position does not provide patient care</p><br>
</div></div><br>
</div></div></div></div><br>
</div></div></div></div><br>
<p></p><div><div><div><div><div><div><p><b>Disclaimer</b></p><br>
</div></div><br>
<div><div><div><div><div><div><p>The foregoing description is not intended and should not be construed to be an exhaustive list of all responsibilities, skills and efforts or work conditions associated with the job. It is intended to be an accurate reflection of the general nature and level of the job.</p><br>
</div></div><br>
</div></div></div></div><br>
</div></div></div></div><br>
</div></div><p></p><div><div><div><div><p><b>Minimum Qualifications</b><br>
Requirements - Required and/or Preferred</p><br>
</div></div><br>
<div><div><div><div><div><div><div><div><div><div><p><b>Name</b></p><br>
</div><div><p><b>Description</b></p><br>
</div></div><br>
<div><div><p>Education:</p><br>
</div><div><p>Must have working-level knowledge of the English language, including reading, writing, and speaking English. Bachelor&rsquo;s degree in information systems, Computer Science, Engineering, or equivalent experience.</p><br>
</div></div><br>
<div><div><p>Experience:</p><br>
</div><div><p>At least 5 years of experience in years in progressive architecture roles (enterprise/solution/platform). Demonstrated experience in complex ecosystems with high availability and regulatory requirements (healthcare preferred).</p><br>
</div></div><br>
<div><div><p>License(s):</p><br>
</div><div><p>None</p><br>
</div></div><br>
<div><div><p>Certification(s):</p><br>
</div><div><p>Recommended (not required)</p>
<p>TOGAF
</p><p>ArchiMate</p><br>
</div></div><br>
<div><div><p>Computer / Typing:</p><br>
</div><div><p>Must be proficient with Microsoft Office Suite, including Outlook, PowerPoint, Excel, and Word and have the ability to use the computer to complete online learning requirements for job-specific competencies, access online forms and policies, complete online benefits enrollment, etc.</p><br>
</div></div><br>
<br>
</div></div></div></div><br>
</div></div></div></div><br>
</div></div></div><br>
<p></p>Location: Renown Health &middot; 100642 IT Infrastructure<br>
Schedule: Full Time - Eligible for Benefits, Day, 8am-5pm</div>

Enterprise Architect

Tata Consultancy Services (TCS)

<div></div><div><div><div><div><div>Enterprise Architect &ndash; IAM
</div><ul><li>Enterprise security architecture;
</li></ul><ul><li>AI for security and Security for AI
</li></ul><ul><li>IAM &amp; access frameworks;
</li></ul><ul><li>Cloud &amp; application security;
</li></ul><ul><li>Risk &amp; compliance alignment;
</li></ul><ul><li>Zero-trust principles;
</li></ul><ul><li>Security stakeholder collaboration</li></ul><br>
<div><br>
</div><div>Salary Range- $120,000-$150,000 a year
</div><div>#LI-SP3
</div><div>#LI-VX1
</div></div></div></div><div><div><div><b>Location</b></div>
<div>Irvine, CA</div>
</div><div><div><b>Job Function</b></div>
<div>TECHNOLOGY</div>
</div><div><div><b>Role</b></div>
<div>Enterprise Architect</div>
</div><div><div><b>Job Id</b></div>
<div>402494</div>
</div><div><div><b>Desired Skills</b></div>
<div>IAM</div>
</div><div><div><b>Salary Range</b></div>
<div>$120,000-$150,000 a year</div>
</div></div><p>Desired Candidate Profile
</p><div><div><b>Qualifications</b> : BACHELOR OF COMPUTER SCIENCE</div></div></div><div></div>

Enterprise Architect IAM

C&G Consulting Services, Inc

<div>
 <p>
  This role is 3 days onsite. NO REMOTE or Relocation. Must be a US Citizen or Green Card Holder. Please do not apply if you are a EAD or H1-VIsa.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job Description:
  </strong>
 </p>
 <p>
  We are looking for a
  <strong>
   Data Architect
  </strong>
  to take ownership of designing and evolving a modern enterprise data ecosystem that supports analytics, reporting, and business decision-making. This role will focus on building and maintaining a secure, scalable data warehouse leveraging Microsoft cloud technologies such as Azure, Synapse, and Microsoft Fabric, while ensuring strong data quality, accessibility, and consistency across the organization.
 </p>
 <p>
  This position will play a key role in establishing data standards, driving best practices in data modeling and governance, and partnering with both technical and business stakeholders. The ideal candidate is comfortable working independently and translating complex data concepts into actionable insights for non-technical audiences.
 </p>
 <p>
  Key Responsibilities
 </p>
 <p>
  <strong>
   Data Architecture &amp; Modeling
  </strong>
 </p>
 <ul>
  <li>
   Design, implement, and maintain enterprise data warehouse solutions within Azure and Microsoft Fabric
  </li>
  <li>
   Develop and manage semantic data models to support reporting through Power BI and Azure Analysis Services
  </li>
  <li>
   Establish and document standards for data modeling, naming conventions, and dataset design
  </li>
 </ul>
 <p>
  <strong>
   Data Governance &amp; Quality
  </strong>
 </p>
 <ul>
  <li>
   Define and enforce data governance frameworks, including data definitions, access controls, and data policies
  </li>
  <li>
   Implement automated processes to monitor and improve data quality and integrity
  </li>
  <li>
   Partner with business users to understand requirements and resolve data inconsistencies
  </li>
 </ul>
 <p>
  <strong>
   Technical Leadership
  </strong>
 </p>
 <ul>
  <li>
   Act as a subject matter expert for data architecture and enterprise data strategy
  </li>
  <li>
   Translate business requirements into scalable and efficient data solutions
  </li>
  <li>
   Provide guidance to stakeholders on data architecture decisions and trade-offs
  </li>
 </ul>
 <p>
  <strong>
   Enablement &amp; Collaboration
  </strong>
 </p>
 <ul>
  <li>
   Create documentation, data dictionaries, and standards to support self-service analytics
  </li>
  <li>
   Work closely with BI developers and business teams to ensure data solutions align with reporting needs
  </li>
 </ul>
 <p>
  Required Qualifications
 </p>
 <ul>
  <li>
   6+ years of experience in data architecture, data engineering, or BI-related roles
  </li>
  <li>
   Strong expertise with Microsoft Azure Data Services, including SQL, Synapse, Data Factory, and Fabric
  </li>
  <li>
   Advanced SQL skills with experience in query optimization
  </li>
  <li>
   Experience with Python or R for data processing and automation
  </li>
  <li>
   Deep understanding of semantic modeling in Power BI or Azure Analysis Services
  </li>
  <li>
   Hands-on experience with Power BI (Desktop, Service, DAX, Power Query)
  </li>
  <li>
   Experience integrating ERP (Epicor preferred) and CRM data for reporting and analytics
  </li>
  <li>
   Strong understanding of end-to-end ERP business processes (Quote-to-Cash, AR, AP, GL)
  </li>
  <li>
   Knowledge of enterprise data architecture principles and data lifecycle management
  </li>
  <li>
   Proven experience establishing and maintaining data governance and quality standards
  </li>
  <li>
   Strong communication skills with the ability to work with non-technical stakeholders
  </li>
 </ul>
 <p>
  Preferred Qualifications
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, or a related field
  </li>
  <li>
   Experience with modern data architecture patterns such as lakehouse, star schema, or medallion architecture
  </li>
  <li>
   Background in operational or supply chain environments
  </li>
  <li>
   Exposure to planning tools such as Anaplan or similar platforms
  </li>
 </ul>
 <p>
 </p>
</div>


Data Engineer

Akima

<div>Company Overview:
<p></p><h3 class="jobSectionHeader"><b>
Work Where it Matters</b></h3><div><p>
Suvi, an Akima company, is not just another federal mission services contractor. As an Alaska Native Corporation (ANC), our mission and purpose extend beyond our exciting federal projects as we support our shareholder communities in Alaska.</p><p>
At Suvi, the work you do every day makes a difference in the lives of our 15,000 I&ntilde;upiat shareholders, a group of Alaska natives from one of the most remote and harshest environments in the United States.</p><p></p><p><b><br>
For our shareholders</b>, Suvi provides support and employment opportunities and contributes to the survival of a culture that has thrived above the Arctic Circle for more than 10,000 years.</p><p></p><p><b><br>
For our government customers</b>, Suvi delivers subject matter experts, an agile management approach, and innovative technologies that accomplish customers&rsquo; missions safely, securely, and efficiently.</p><p></p><p><b><br>
As a Suvi employee</b>, you will be surrounded by a challenging, yet supportive work environment that is committed to innovation and diversity, two of our most important values. You will also have access to our comprehensive benefits and competitive pay in addition to growth opportunities and excellent retirement options.</p></div>
Description:
<div></div><div><div><div><div><div><div><div><p>
SUVI is seeking a highly experienced HOPEX Architect to lead and elevate our enterprise architecture platform while driving greater strategic impact across the organization. This role offers the opportunity to take full ownership of the HOPEX application, overseeing administration, configuration, data integration, and vendor engagement to ensure the platform delivers maximum value. To join our team of outstanding professionals, apply today!</p><p></p><p><br>
The ideal candidate brings strong hands-on expertise with HOPEX and a proven ability to manage architecture repositories, strengthen data governance, and produce executive level insights that support informed decision making. You will partner closely with domain architects to ensure the accuracy and consistency of enterprise architecture data, including managing integrations with systems such as ServiceNow and Microsoft Entra.</p><p></p><p><br>
This is a high impact role focused on transforming our enterprise architecture platform from a static documentation tool into a dynamic strategic asset. Your work will directly support modernization efforts, innovation initiatives, executive visibility, and long-term IT planning.</p><p>
If you are passionate about turning data into strategy and want to play a key role in shaping the future of enterprise architecture at SUVI, we encourage you to apply.</p></div></div></div></div></div></div></div>
Responsibilities:
<ul><li>Serve as the primary technical owner and expert for the HOPEX platform, managing all aspects of its configuration, operations, maintenance and optimization to support enterprise architecture activities.</li><li>
Act as the main point of contact for the vendor (BizzDesign/MEGA), leading all communications regarding issue resolution, technical support, enhancement requests and license management.</li><li>
Develop and manage data integration between HOPEX and other authoritative systems, including ServiceNow, Entra ID, HR and Financial systems, to ensure a single, reliable source of truth for architectural data.</li><li>
Enforce EA data governance by creating and maintaining modeling standards, meta-model and meta-data practices, naming conventions, and governance (roles, access, and validation rules) within the architecture repository.</li><li>
Administer the day-to-day technical health of the platform, overseeing configuration changes, workflow development, dashboard creation, user access, and release/upgrade cycles.</li><li>
Collaborate with solution architects to ensure the consistency and quality of architectural models, verifying interdependencies and tracing requirements to maintain auditability.</li><li>
Coordinate with domain specific architects to manage strategic portfolios within HOPEX, including applications, technologies, data, and projects, to align IT investments with strategic objectives and support modernization roadmaps.</li><li>
Produce executive-level dashboards, reports, and scenario models to support strategic analysis, guide investment planning, and inform leadership decision-making on topics like application rationalization and risk mitigation.</li></ul>
Qualifications:
<ul><li>Active Secret Clearance.</li><li>
Bachelor&rsquo;s degree in a technical field such as Computer Science, Engineering, or Information Technology, or equivalent experience.
</li><li>7+ years of deep, hands-on experience as a HOPEX Architect with demonstrated expertise in platform administration, configuration, operations, maintenance, and optimization.</li><li>
Proven proficiency in applying enterprise architecture frameworks, specifically TOGAF and DoDAF, within a government or large enterprise environment.</li></ul><p><b>
Preferred Qualifications:</b></p><ul><li>
Master&rsquo;s degree in relevant technical or engineering discipline.</li><li>
10+ years of experience in IT service delivery, with a strong preference for experience within DoD or other federal government agencies.</li><li>
Demonstrated experience integrating HOPEX with other enterprise platforms, particularly ServiceNow, CMDBs, and Entra ID.</li><li>
Relevant professional certifications, such as:</li><li><ul><li>
MEGA HOPEX Practitioner Certification (or other official vendor training).</li><li>
TOGAF&reg; 9 Certified (provided by the Open Group) and/or DODAF Certified (Federal Enterprise Architecture Certification (FEAC) Institute provides training that leads to DoDAF certification).</li><li>
ITIL (Information Technology Infrastructure Library) and/or COBIT (Control Objectives for Information and Related Technologies).</li><li>
CompTIA Security+ (or another DoD 8570/8140 compliant certification).</li></ul></li></ul>
Job ID: 2026-22203 Work Type: On-Site</div>

HOPEX Enterprise Architect (Active Secret Clearance)

geidea

<div>
 <p>
  Established in 2008,
  <strong>
   Geidea
  </strong>
  epitomizes customer focused empowerment and commercial success through continuous innovation.
 </p>
 <p>
  <strong>
   Geidea
  </strong>
  makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 </p>
 <p>
  Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 </p>
 <p>
  Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 </p>
 <p>
  www.geidea.net
 </p>
 <p>
  <br/>
 </p>
 <p>
  To maintain a competitive advantage as we grow, we are currently looking for a new " Date Architect Senior Manager".
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Job purpose:
  </strong>
 </p>
 <p>
  A highly skilled Data Architect to design and lead the development of scalable, secure, and high-performance data platforms across the enterprise. This role is central to shaping the data ecosystem supporting our Fintech services&mdash;including real-time financial transactions, credit scoring models, regulatory reporting, and customer analytics.
 </p>
 <p>
  <br/>
 </p>
 <p>
  Data Architect will work across engineering, analytics, and product teams to build modern data infrastructure incorporating Big Data platforms, data lakes, ELT/ETL pipelines, and data warehouses. Your solutions must ensure high availability, governance, security, and performance&mdash;compliant with SAMA and other regulatory frameworks.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Responsibilities:
  </strong>
 </p>
 <ul>
  <li>
   <strong>
    Data Architecture Design:
   </strong>
  </li>
  <li>
   Lead the end-to-end architecture of enterprise data platforms including Data Lakes, Lakehouse, and Data Warehouses.
  </li>
  <li>
   Design and maintain canonical data models (conceptual, logical, and physical) for structured, semi-structured (JSON, XML), and unstructured data.
  </li>
  <li>
   Develop architectural blueprints for hybrid and cloud-native solutions leveraging AWS, Azure, or GCP.
  </li>
  <li>
   Standardize data ingestion, transformation, and serving layers for streaming and batch use cases.
  </li>
  <li>
   <strong>
    Big Data &amp; Distributed Systems Engineering:
   </strong>
  </li>
  <li>
   Architect Big Data processing solutions using Apache Spark, Flink, Presto, Trino, or Databricks for large-scale processing of financial and behavioral data.
  </li>
  <li>
   Implement distributed file systems (e.g., HDFS, S3, ADLS) and optimize file formats like Parquet, ORC, and Avro.
  </li>
  <li>
   Ensure scalable compute using EMR, Dataproc, or AKS/Kubernetes-based platforms.
  </li>
  <li>
   <strong>
    Data Lakes and Lakehouse Architecture:
   </strong>
  </li>
  <li>
   Design and operationalize data lakes as central repositories for raw and curated data assets.
  </li>
  <li>
   Build Delta Lake, Apache Hudi, or Iceberg-based architectures to support ACID transactions, schema evolution, and time travel.
  </li>
  <li>
   Define governance standards across raw, staged, curated, and analytics layers of the lake architecture.
  </li>
  <li>
   <strong>
    ELT/ETL Frameworks &amp; Pipelines:
   </strong>
  </li>
  <li>
   Develop robust ELT/ETL pipelines using tools like Apache Airflow, DBT, AWS Glue, Azure Data Factory, or Kafka Connect.
  </li>
  <li>
   Optimize data transformations for performance, reusability, and modular design (e.g., using SQL/Scala/Python).
  </li>
  <li>
   Ensure orchestration of dependencies, retries, alerting, and logging in a fully observable pipeline ecosystem.
  </li>
  <li>
   <strong>
    Data Warehousing &amp; BI Integration:
   </strong>
  </li>
  <li>
   Architect cloud-based data warehouses such as Snowflake, BigQuery, Redshift, or Synapse Analytics.
  </li>
  <li>
   Define dimensional models (Star, Snowflake), facts/dimensions, and materialized views optimized for analytics and dashboarding tools (e.g., Power BI, Tableau, Looker).
  </li>
  <li>
   Enable self-service analytics by integrating semantic layers, metadata management, and data cataloging tools.
  </li>
  <li>
   <strong>
    Security, Governance &amp; Compliance:
   </strong>
  </li>
  <li>
   Implement data encryption (at-rest/in-transit), tokenization, and row/column-level security mechanisms.
  </li>
  <li>
   Define and enforce data governance policies, including data lineage, classification, and auditing aligned with SAMA, NCA, GDPR, and internal policies.
  </li>
  <li>
   Integrate with data catalogs (e.g., Alation, DataHub, Apache Atlas) and governance tools.
  </li>
  <li>
   <strong>
    DevOps &amp; Observability:
   </strong>
  </li>
  <li>
   Support CI/CD for data pipelines and infrastructure as code using Terraform, CloudFormation, or Pulumi.
  </li>
 </ul>
 <p>
  Implement observability practices via data quality checks, SLAs/SLIs, and monitoring tools like Prometheus, Grafana, or Datadog.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Qualifications:
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, or a related technical field.
  </li>
  <li>
   <strong>
    8+ years of experience
   </strong>
   in data architecture, with significant contributions to production-grade data systems.
  </li>
  <li>
   Proven track record in designing and deploying
   <strong>
    petabyte-scale data infrastructure
   </strong>
   in
   <strong>
    Fintech
   </strong>
   ,
   <strong>
    Banking
   </strong>
   , or
   <strong>
    RegTech
   </strong>
   environments.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Our values guide how we think and act - They describe what we care about the most
  </strong>
 </p>
 <p>
  <strong>
   C
  </strong>
  ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 </p>
 <p>
  <strong>
   O
  </strong>
  pen - Openness allows us to constantly improve and evolve
 </p>
 <p>
  <strong>
   R
  </strong>
  eal - No jargon and no excuses!
 </p>
 <p>
  <strong>
   B
  </strong>
  old - Constantly challenging ourselves and our way of thinking.
 </p>
 <p>
  <strong>
   R
  </strong>
  esilient &ndash; If we fail, we bounce back stronger than before.
 </p>
 <p>
  <strong>
   C
  </strong>
  ollaborative - We know that we can achieve a lot more as a team.
 </p>
 <p>
  We are changing lives by constantly striving for a better solution.
 </p>
 <p>
 </p>
</div>


Data Architect Senior Manager

Starlink Qatar

<div>
 <p>
  The
  <strong>
   Data &amp; Analytics Architect
  </strong>
  defines and governs the end-to-end data architecture for enterprise platforms, enabling trusted data products, analytics, and reporting across multiple domains. The role designs cloud-agnostic data platform patterns (lakehouse, streaming, semantic layers), ensures interoperability across vendor solutions, and aligns data delivery with governance, security, and privacy requirements.
 </p>
 <p>
  Working with stakeholders, technical teams, and multiple delivery vendors, the architect defines reference architectures, data modeling standards, and performance/availability targets, and provides assurance through design reviews and implementation checkpoints. The role ensures analytics outputs are reliable, scalable, and operationally supportable.
 </p>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Duties &amp; Responsibilities
  </strong>
 </p>
 <ul>
  <li>
   Define data platform reference architecture (lakehouse, streaming, batch, semantic/BI, data products).
  </li>
  <li>
   Establish patterns for data ingestion (APIs, events, IoT), transformation, and orchestration with portability in mind.
  </li>
  <li>
   Define data modeling standards: canonical models, domain-driven data products, dimensional modeling, and master data practices.
  </li>
  <li>
   Specify analytics architecture: semantic layer, KPI definitions, dashboards, and self-service analytics enablement.
  </li>
  <li>
   Define performance, scalability, and availability requirements for data workloads; implement partitioning, indexing, and cost optimization.
  </li>
  <li>
   Align data architecture with governance, privacy, and security requirements (classification, lineage, retention, encryption, DLP, access controls).
  </li>
  <li>
   Define reference designs for operational analytics, near-real-time reporting, and event-driven analytics.
  </li>
  <li>
   Govern integration of vendor-delivered data stores and BI/reporting tooling; ensure consistent data contracts and quality checks.
  </li>
  <li>
   Define and monitor data quality framework: validations, monitoring, SLAs, issue workflows, and reporting for data health.
  </li>
  <li>
   Provide architecture assurance: review vendor designs, validate implementations, and support go-live readiness and disaster recovery planning.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Skills &amp; Abilities
  </strong>
 </p>
 <ul>
  <li>
   Strong knowledge of modern data architectures (lakehouse, streaming, ELT/ETL, semantic layers, data products).
  </li>
  <li>
   Ability to design scalable, secure, and cost-effective analytics solutions in multi-tenant, regulated environments.
  </li>
  <li>
   Proficiency in data modeling (dimensional + domain-oriented), data quality, and metadata/lineage practices.
  </li>
  <li>
   Experience defining actionable KPIs and ensuring consistent metric definitions across stakeholders.
  </li>
  <li>
   Strong documentation and communication skills to align vendors and business owners on data contracts and standards.
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Education &amp; Background
  </strong>
 </p>
 <ul>
  <li>
   Bachelor&rsquo;s degree in
   <strong>
    Computer Science, Information Technology, Cybersecurity
   </strong>
   , or related field; Master&rsquo;s degree highly preferred.
  </li>
  <li>
   8+ years in data architecture, analytics engineering, or BI platform roles in enterprise settings.
  </li>
  <li>
   Experience delivering data platforms in cloud/hybrid environments and integrating multiple vendor solutions.
  </li>
  <li>
   Hands-on exposure to streaming/event-driven data (Kafka/Event Hubs) and orchestration (Airflow/ADF-like tools).
  </li>
  <li>
   Experience with BI/semantic layers and large-scale dashboarding programs (Power BI/Tableau/Looker).
  </li>
  <li>
   Familiarity with governance in regulated environments (classification, retention, auditability, privacy-by-design).
  </li>
 </ul>
 <p>
  <br/>
 </p>
 <p>
  <strong>
   Preferred Tools / Soft Skills
  </strong>
 </p>
 <p>
  <strong>
   Preferred Tools
  </strong>
 </p>
 <ul>
  <li>
   Data platforms: Databricks/Spark, lakehouse table formats (Delta/Iceberg), object storage (Blob/S3/GCS)
  </li>
  <li>
   Streaming &amp; orchestration: Kafka/Event Hubs, Airflow/ADF-style orchestration, dbt (optional)
  </li>
  <li>
   Analytics: Power BI (preferred), semantic models, SQL engines (Synapse/Trino/BigQuery equivalents)
  </li>
 </ul>
 <p>
  <strong>
   Soft Skills
  </strong>
 </p>
 <ul>
  <li>
   Ability to align diverse stakeholders on a single &ldquo;source of truth&rdquo; for metrics and data definitions
  </li>
  <li>
   Strong analytical thinking and structured problem solving
  </li>
  <li>
   Pragmatic prioritization balancing performance, cost, and governance constraints
  </li>
  <li>
   Collaborative leadership across vendors and internal teams
  </li>
  <li>
   Clear communication of complex data concepts to non-technical audiences
  </li>
 </ul>
</div>


Data & Analytics Architect

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