enterprise data architect

Etihad Airways

<p></p><div><div><div><div><h2 class="jobSectionHeader"><b>Job Description</b></h2></div><div><p>
Synopsis</p><p>
Etihad Airways is seeking an experienced Data Architect to design and shape the future of our enterprise data ecosystem. This role will be instrumental in defining scalable data architectures, driving cloud transformation initiatives, and enabling advanced analytics, AI, and business intelligence capabilities across the organization.</p><p>
Accountabilities</p><ul><li>
Design and govern enterprise-wide data solutions aligned with business strategy, architecture standards, and technology roadmaps.</li><li>
Lead the architecture of modern data platforms, data lakes, data warehouses, and analytics solutions using Azure technologies.</li><li>
Define and promote architecture standards, reusable patterns, governance frameworks, and best practices across the Data Agile Release Train (DART).</li><li>
Partner with business, product, engineering, and enterprise architecture teams to deliver scalable, secure, and future-ready solutions.</li><li>
Drive data governance capabilities including data quality, lineage, metadata management, reference data management, and lifecycle management.</li><li>
Provide architectural leadership across Agile and Waterfall delivery initiatives, ensuring alignment with enterprise architecture principles and target-state designs.</li><li>
Lead a team of data architects.</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Qualifications</b></h2></div><div><p>
Education &amp; Experience</p><ul><li>
Bachelor's degree in Computer Science, Engineering, or a related field.</li><li>
7+ years of experience in Data or Solution Architecture within complex environments.</li><li>
Proven delivery of Data Warehouse, Big Data, BI, Analytics, and Data Science solutions.</li><li>
Strong expertise in Azure Data Factory (ADF), Databricks, Synapse Analytics, Cosmos DB, Azure Data Lake, and modern data integration platforms.</li><li>
Strong knowledge of Data Modelling, Governance, Quality, Lineage, Metadata Management, and Data Security.</li><li>
Experience defining architecture standards, technology roadmaps, and cloud transformation strategies.</li><li>
Experience within the airline, aviation, travel, or transportation industry preferred, with knowledge of domains such as PNR, Ticketing, Loyalty, Revenue Management, Operations, and Customer Data.</li><li>
Exposure to AI, Machine Learning, and Advanced Analytics platforms.</li><li>
Architecture certification such as TOGAF, SAFe Architect, ArchiMate, Open CA, or equivalent.</li></ul></div></div><p></p><div><div><h2 class="jobSectionHeader"><b>
Additional Information</b></h2></div><div></div><div><p>
Etihad Airways is more than the UAE&rsquo;s national airline - we&rsquo;re shaping the future of global aviation. From our hub in Abu Dhabi, we connect people across continents and cultures, while driving our &ldquo;Journey 2030&rdquo; ambition to double our fleet, expand our network and grow our people for a new era of excellence. Join us and become part of a vision where the world is your workplace and extraordinary experiences take flight.</p><p>
To learn more visit www.etihad.com</p><p><b>
Recruitment Fraud Alert</b><br>
Beware of fraudulent job offers from individuals or organizations claiming to represent the Etihad group. We will never ask for personal information, bank details, or payment during the recruitment process. Interviews are conducted face-to-face or via video/telephone before any formal offer. If you are asked for money, please treat it as fraudulent.</p></div></div></div></div><p></p>

Data Architect

Abbott

<div><p>Abbott is a global healthcare leader that helps people live more fully at all stages of life. Our portfolio of life-changing technologies spans the spectrum of healthcare, with leading businesses and products in diagnostics, medical devices, nutritionals and branded generic medicines. Our 115,000 colleagues serve people in more than 160 countries.</p><p></p><p><b>
The Opportunity</b></p><p></p><p>
Abbott is seeking a highly skilled and strategic Lead Data &amp; Solutions Architect to support the development, management, and modernization of the enterprise data ecosystem that powers our next-generation business capabilities. This role will lead the design and implementation of scalable cloud-based data platforms, architecture standards, governance frameworks, and data products that enable enterprise-wide AI, analytics, and data-driven decision making.</p><p>
The ideal candidate combines deep technical expertise in Databricks, AWS, Azure, modern data architectures, and data engineering practices with strong business acumen and leadership capabilities. Healthcare and EMR/EHR experience is highly desirable as Abbott continues to expand the use of clinical, operational, and commercial data assets to accelerate innovation and business outcomes.</p><p></p><p><b>
What You'll Work On</b></p><ul><li>
Define and maintain enterprise-wide data architecture standards, principles, roadmaps, and governance frameworks.</li><li>
Lead the design and implementation of scalable cloud-native data platforms leveraging Databricks, AWS, Azure, and related technologies.</li><li>
Architect and oversee batch, streaming, and real-time data pipelines supporting analytics, AI, machine learning, and operational use cases.</li><li>
Partner with business, product, analytics, AI, and engineering teams to translate strategic objectives into scalable data solutions.</li><li>
Design and optimize Lakehouse architectures, enterprise data lakes, data warehouses, and data integration frameworks.</li><li>
Enable self-service data and analytics capabilities that improve accessibility, trust, and usability of enterprise data assets.</li><li>
Support enterprise AI initiatives by ensuring high-quality, governed, and scalable data foundations.</li><li>
Establish best practices for data modeling, metadata management, data lineage, master data management, and data quality.</li><li>
Drive automation of data workflows, orchestration processes, monitoring, and operational support to enable near real-time data access.</li><li>
Ensure data security, privacy, compliance, and governance across all platforms and data domains.</li></ul><ul><li>
Collaborate with cybersecurity, legal, and compliance teams to implement appropriate controls for sensitive and regulated data.</li><li>
Guide cloud strategy across AWS and Azure environments, ensuring scalability, reliability, cost optimization, and operational excellence.</li><li>
Mentor and provide technical leadership to data engineers, architects, and cross-functional technology teams.</li><li>
Conduct architecture reviews and technology assessments, identifying opportunities for modernization and innovation.</li><li>
Evaluate emerging technologies and industry trends to advance Abbott&rsquo;s data, analytics, and AI capabilities.</li><li>
Support enterprise initiatives involving healthcare, EMR/EHR, clinical, operational, and commercial data when applicable.</li></ul><p></p><p><b>
Required Qualifications</b></p><ul><li>
Bachelor's degree in computer science, Information Systems, Engineering, Data Science, or a related technical discipline.</li><li>
8+ years of experience in data architecture, solution architecture, data engineering, or related enterprise technology roles.</li><li>
5+ years of experience designing and implementing enterprise-scale cloud data platforms.</li><li>
Deep hands-on experience with Databricks, including:<ul><li>
Delta Lake</li><li>
Unity Catalog</li><li>
Databricks Workflows</li><li>
Databricks SQL</li><li>
Spark and PySpark</li><li>
Lakehouse Architecture</li></ul></li></ul><p></p><ul><li>
Strong expertise with AWS services such as S3, Glue, IAM, Redshift, Lambda, Kinesis, and Lake Formation.</li><li>
Strong expertise with Microsoft Azure services such as Azure Data Lake Storage (ADLS), Azure Data Factory, Synapse, Azure Key Vault, and Microsoft Purview.</li><li>
Extensive experience designing and implementing ETL/ELT frameworks, data pipelines, and cloud-native integration solutions.</li><li>
Strong understanding of data architecture patterns, distributed systems, data modeling, and enterprise integration concepts.</li><li>
Experience implementing data governance, security, compliance, encryption, access controls, monitoring, and auditing frameworks.</li><li>
Strong proficiency in SQL and Python.</li><li>
Proven ability to develop architecture standards and influence enterprise technology direction.</li><li>
Excellent communication, stakeholder management, and executive presentation skills.</li><li>
Demonstrated ability to lead complex cross-functional initiatives and technical teams.</li></ul><p></p><p><b>
Preferred Qualifications</b></p><ul><li>
Experience within healthcare, medical device, pharmaceutical, payer, provider, or healthcare technology organizations.</li><li>
Experience working with EMR/EHR platforms and healthcare data standards, including FHIR and HL7.</li><li>
Familiarity with clinical, claims, patient, provider, and operational healthcare datasets.</li><li>
Experience architecting solutions that support AI, machine learning, GenAI, and advanced analytics initiatives.</li><li>
Experience with streaming technologies such as Kafka, Spark Structured Streaming, or equivalent platforms.</li><li>
Experience implementing self-service analytics and data product strategies.</li><li>
Knowledge of MLOps, AI governance, and modern AI platform architectures.</li><li>
AWS Certified Solutions Architect, Microsoft Azure Solutions Architect Expert, Databricks Certified Professional, or comparable certifications.</li><li>
Experience operating within regulated environments and supporting compliance requirements including HIPAA and other data privacy regulations.</li><li>
Experience working in a global, matrixed organization.</li></ul><p></p><p><b>
Apply Now</b></p><p>
Learn more about our health and wellness benefits, which provide the security to help you and your family live full lives: www.abbottbenefits.com</p><p>
Follow your career aspirations to Abbott for diverse opportunities with a company that can help you build your future and live your best life. Abbott is an Equal Opportunity Employer, committed to employee diversity.</p><p>
Connect with us at www.abbott.com, on Facebook at www.facebook.com/Abbott, and on Twitter @AbbottNews.</p><p>
Note: The responsibilities and qualifications above incorporate current enterprise data architecture expectations commonly seen in Databricks, cloud architecture, and AI-enablement leadership roles, including expertise in cloud data platforms, governance, security, architecture standards, self-service analytics, and enterprise AI strategy.</p><p></p><p><b>
Working at Abbott</b></p><p>
At Abbott, you can do work that matters, grow, and learn, care for yourself and your family, be your true self, and live a full life. You&rsquo;ll also have access to:</p><ul><li>
Career development with an international company where you can grow the career you dream of.</li><li>
Employees can qualify for free medical coverage in our Health Investment Plan (HIP) PPO medical plan in the next calendar year.</li><li>
An excellent retirement savings plan with a high employer contribution.</li><li>
Tuition reimbursement, the Freedom 2 Save student debt program, and FreeU education benefit - an affordable and convenient path to getting a bachelor&rsquo;s degree.</li><li>
A company recognized as a great place to work in dozens of countries worldwide and named one of the most admired companies in the world by Fortune.</li><li>
A company that is recognized as one of the best big companies to work for as well as the best place to work for diversity, working mothers, female executives, and scientists.</li></ul><p><br>
The base pay for this position is $114,000.00 &ndash; $228,000.00. In specific locations, the pay range may vary from the range posted.</p></div>

Principal Data Architect

Datamatics Global Services Ltd

<div><h1 class="jobSectionHeader">CV&rsquo;s that match the JD will be entertained Only<br>
<br>
Data Architect<br>
Location : Onsite &ndash; Riyadh<br>
Role Duration &ndash; Long Term
</h1>
<h1 class="jobSectionHeader">Role Overview</h1>
The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>
Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>
Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>
Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>
Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>
Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>
Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>
Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>
Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>
Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><h1 class="jobSectionHeader">
Required Experience and Qualifications</h1><ul><li>
15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation.</li><li>
Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment.</li><li>
Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability.</li><li>
Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems.</li><li>
Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles.</li><li>
Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns.</li><li>
Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</li></ul><p>
</p><p>MRYI18gL3i</p></div>

Senior Data Architect

CHAOS Industries

<div><p>CHAOS Industries is redefining modern defense with a multi-product portfolio that gives the ultimate advantage&mdash;domain dominance. The company's products are powered by Coherent Distributed Networks (CDN&trade;), empowering warfighters, commercial air operators, and border protection teams to act faster, adapt rapidly, and stay ahead of evolving threats.</p>
<p>
CHAOS Industries was founded in 2022 and has raised a total of $1 billion in funding from leading investors, including 8VC, Accel, and Valor Equity Partners. The company is headquartered in Los Angeles, with offices in Washington, D.C., San Francisco, San Diego, Seattle, and London. For more information, please visit www.chaosinc.com.</p>
<p><b>
Role Overview:</b></p>
<p>
CHAOS Industries is hiring a Enterprise Cloud Architect to design, lead, and govern our cloud infrastructure strategy across defense and GovCon program environments. This is a high-impact, senior individual contributor role that sits at the center of our digital transformation &mdash; you'll define how we build, secure, and scale cloud capabilities across classified, unclassified, and hybrid environments. You'll own the architecture from concept through delivery, working alongside ISSMs, program managers, and engineering teams to ensure every solution is mission-ready, compliant, and built to last.</p>
<ul>
<li>You'll be embedded across the Enterprise Technology and Classified Programs divisions &mdash; partnering with ISSMs, security engineers, program leads, and government customers to translate mission requirements into cloud architecture that actually works at scale in a defense environment. If you thrive in environments where the stakes are real, this is your seat.</li>
<li>From day one, you'll own the cloud architecture roadmap, lead our AWS GovCloud and Azure Government platform strategy, drive zero trust network architecture implementation, and architect the secure connectivity fabric between classified and unclassified environments. You build the things other architects only diagram.</li>
</ul>
<p><b>Responsibilities:</b></p>
<ul>
<li>Design and own the enterprise cloud architecture across AWS GovCloud, Azure Government, and on-premise/hybrid environments supporting classified and unclassified program workloads.</li>
<li>Develop cloud architecture documentation including solution design documents, network diagrams, data flow maps, and Authority to Operate (ATO) supporting artifacts aligned to NIST RMF, ICD 503, and FedRAMP.</li>
<li>Define and enforce cloud security architecture standards including Zero Trust Architecture (ZTA), identity and access management (IAM), encryption in transit and at rest, and workload isolation patterns.</li>
<li>Lead cloud migration planning and execution &mdash; assess on-premise workloads, define migration strategies (rehost, replatform, refactor), and oversee technical delivery.</li>
<li>Architect secure, high-availability cloud network topologies including VPC/VNET design, transit gateways, private connectivity (AWS Direct Connect, Azure ExpressRoute), and cross-domain solution integration.</li>
<li>Collaborate with ISSM/ISSO teams to develop and maintain Cloud Security Plans, System Security Plans (SSPs), and continuous monitoring strategies for cloud-hosted systems.</li>
<li>Establish infrastructure-as-code (IaC) standards and patterns using Terraform, AWS CloudFormation, or Azure Bicep; promote repeatable, auditable, and secure deployment pipelines.</li>
<li>Evaluate emerging cloud technologies, services, and vendors; provide build vs. buy vs. configure recommendations with documented trade studies for CIO and executive review.</li>
<li>Serve as the primary technical authority for cloud architecture on assigned programs; engage directly with government customers, AOs, and prime contractors on cloud-related matters.</li>
<li>Mentor and guide cloud engineers, DevSecOps practitioners, and junior architects; establish architecture review processes and cloud governance frameworks.</li>
<li>Travel up to 10% CONUS to support program sites, government customer engagements, and architecture reviews.</li>
</ul>
<p> <b>Minimum Requirements:</b></p>
<ul>
<li>Bachelor's degree in Computer Science, Information Systems, Cloud Computing, or a related technical field. Master's degree preferred; equivalent experience considered.</li>
<li>8&ndash;12 years of experience in cloud architecture, infrastructure engineering, or solutions architecture, with a minimum of 4 years designing cloud solutions for DoD, IC, or federal government programs.</li>
<li>Demonstrated experience architecting production workloads on AWS GovCloud and/or Azure Government, including multi-account/multi-subscription landing zone design, networking, and IAM.</li>
<li>Hands-on experience with infrastructure-as-code tooling (Terraform, CloudFormation, Bicep, or equivalent) and CI/CD pipeline security (DevSecOps).</li>
<li>Working knowledge of FedRAMP, NIST SP 800-53, NIST SP 800-144, CMMC Level 2/3, and DFARS cloud security requirements.</li>
<li>Experience supporting NIST RMF authorization activities for cloud-hosted systems, including development of cloud-specific SSP artifacts and continuous monitoring strategies.</li>
<li>Active Secret clearance required at time of hire. TS/SCI eligibility strongly preferred; specific program assignments may require upgrade.</li>
</ul>
<p><b>Preferred Requirements:</b></p>
<ul>
<li>Active Secret Clearance</li>
<li>Experience designing Cross Domain Solutions (CDS) or multi-level security (MLS) architectures for classified environments.</li>
<li>Familiarity with NSA/CSS cloud security standards, DoD Cloud Computing Security Requirements Guide (CC SRG), or IC cloud policy.</li>
<li>Experience with container orchestration (Kubernetes, EKS, AKS) and service mesh architectures in a GovCloud environment.</li>
<li>Knowledge of cloud-native SIEM and security tooling (AWS Security Hub, Microsoft Sentinel, Crowdstrike Falcon) for continuous monitoring in classified/CUI environments.</li>
<li>AWS Certified Solutions Architect &ndash; Professional, AWS Certified Security &ndash; Specialty, Microsoft Azure Solutions Architect Expert, or equivalent.</li>
<li>TOGAF 9/10 or equivalent enterprise architecture certification.</li>
</ul>
<p><b>Why CHAOS?</b></p>
<ul>
<li><b>Health Benefits: </b>Medical, dental, and vision benefits 100% paid for by the company</li>
<li><b>Additional benefits</b>: 401k (+ 50% company match up to 6% of pay), FSA, HSA, life insurance, and more</li>
<li><b>Our Perks: </b>Free daily lunch, 'No meeting Fridays', unlimited PTO, casual dress code</li>
<li><b>Compensation Components:</b> Competitive base salaries, generous pre-IPO stock option grants, relocation assistance, and (coming soon!) annual bonuses</li>
<li><b>Team Growth: </b>250 employees and counting across 5 global offices</li>
</ul><div><b><i>Salary Range: $180,000 - $220,000</i></b></div>
<p><i>
The stated compensation range reflects only the targeted base compensation range and excludes additional earnings such as bonus, equity, and benefits. If your compensation requirements fall outside of the range, we still encourage you to apply. The salary range for this role is an estimate based on a range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations.</i></p><br>
<p></p>
<p></p>
<h3 class="jobSectionHeader"><b>Recruiting Agencies: CHAOS Industries does not accept unsolicited resumes or outreach. Unsolicited submissions will not be reviewed or compensated.</b></h3><br>
<p></p>
<p><i>
#LI-onsite</i></p></div>

Enterprise Cloud Architect

<div><h1 class="jobSectionHeader">CV&rsquo;s that match the JD will be entertained Only<br>
<br>
Data Architect<br>
Location : Onsite &ndash; Riyadh<br>
Role Duration &ndash; Long Term
</h1>
<h1 class="jobSectionHeader">Role Overview</h1>
The expert will define the enterprise-wide data architecture for a complex, multi-entity organization. The role will translate business and data strategy into a coherent target architecture, common data models, integration patterns, platform capabilities, governance standards and a phased transition roadmap, while enabling interoperability across business units and entities.<h1 class="jobSectionHeader">
Key Responsibilities</h1><ul><li>
Assess the current data landscape across business units and entities, including data sources, platforms, models, flows, integrations, ownership, dependencies and key pain points.</li><li>
Define enterprise data architecture principles, standards and the target-state architecture across data ingestion, integration, storage, processing, sharing, analytics and AI enablement.</li><li>
Develop conceptual and logical enterprise data models, canonical models and common definitions for priority data domains.</li><li>
Define data-domain boundaries, data-product interfaces and interoperability standards for a federated, multi-entity environment.</li><li>
Establish architecture patterns for APIs, event-driven integration, batch exchange and secure data sharing across internal and external ecosystems.</li><li>
Advise on the architecture of data lakehouse or warehouse platforms, master and reference data, metadata catalogues, lineage, data quality, security and privacy controls.</li><li>
Align the data architecture with business capabilities, application architecture, technology strategy and enterprise-wide transformation priorities.</li><li>
Define data architecture governance, decision rights, design-review gates, reusable patterns and exception-management processes.</li><li>
Identify architecture gaps, dependencies and migration priorities, and develop a practical transition roadmap.</li><li>
Facilitate architecture workshops and translate complex technical decisions into clear recommendations for senior stakeholders.</li></ul><h1 class="jobSectionHeader">
Required Experience and Qualifications</h1><ul><li>
15+ years of relevant experience in data architecture, enterprise information architecture, data engineering or large-scale data transformation.</li><li>
Proven experience defining enterprise-wide data architecture for a large, complex organization, conglomerate, public-sector ecosystem or other multi-entity environment.</li><li>
Strong expertise in conceptual and logical data modelling, enterprise data domains, canonical models and data interoperability.</li><li>
Deep understanding of modern data platforms, including cloud or hybrid data architectures, lakehouse or warehouse patterns, data integration and analytics ecosystems.</li><li>
Strong knowledge of data governance, metadata, lineage, master data management, data quality, security and privacy-by-design principles.</li><li>
Experience establishing federated architecture standards and aligning diverse business units and entities around common enterprise patterns.</li><li>
Ability to connect data architecture decisions to business outcomes, operating-model implications, investment requirements and implementation priorities, and communicate them clearly to senior stakeholders</li></ul><p>
</p><p>8hClB9Kwo7</p></div>

Valleysoft | Center of Excellence

<div>
 Valleysoft is a regional IT services provider delivering enterprise technology and business process solutions for clients globally. Working across the Information Technology and Services sector, the company supports organizations with the systems, platforms, and data capabilities they need to operate effectively and make better decisions.
 <br/>
 <br/>
 In this role, you will help shape enterprise data architecture for complex client environments, supporting the design of scalable information assets, stronger governance practices, and more effective use of data across the business. The position plays a central part in connecting architecture, analytics, and operational data needs while partnering closely with technical teams and business stakeholders.
 <br/>
 <br/>
 <strong>
  Responsibilities
  <br/>
  <br/>
 </strong>
 <ul>
  <li>
   Build the bank enterprise architecture tool and maintain enterprise architecture artifacts
  </li>
  <li>
   Maintain and develop data collection, storage, and transfer systems used by the project team
  </li>
  <li>
   Support the development of advanced data analytics products
  </li>
  <li>
   Define data architecture and select data collection, storage, and analysis technologies
  </li>
  <li>
   Monitor data availability, completeness, and quality, including the integration of internal and external data sources and the use of analytical tools
  </li>
  <li>
   Manage and approve the list of Critical Data Elements (CDEs), including guiding domains on prioritization
  </li>
  <li>
   Lead business and technical metadata management activities
  </li>
  <li>
   Establish, monitor, and enforce business processes and standards for metadata management and compliance
  </li>
  <li>
   Provide technical support to IT teams on data architecture, logical data models, and data strategy across the bank's systems and applications
  </li>
  <li>
   Define and maintain logical data models and information assets
  </li>
  <li>
   Provide templates for structuring business metadata, including business definitions, security and access levels, and data quality rules, as well as technical metadata such as physical data elements and data lineage
  </li>
  <li>
   Approve changes to metadata and manage new metadata demand
  </li>
  <li>
   Approve business definitions and data lineage developed by domains
  </li>
  <li>
   Define metadata standards and ensure compliance
   <br/>
   <br/>
  </li>
 </ul>
 <strong>
  Requirements
  <br/>
  <br/>
 </strong>
 Bachelor's degree in Computer Science, Engineering, or Mathematics.
 <br/>
 <br/>
 Eligible to work in Egypt.
 <br/>
 <br/>
 Expertise in database systems, including SQL and NoSQL databases such as MongoDB or Cassandra.
 <br/>
 <br/>
 Strong knowledge of data warehousing solutions such as Snowflake or Amazon Redshift.
 <br/>
 <br/>
 Experience with data modeling, data architecture design, and schema development.
 <br/>
 <br/>
 Proficiency in ETL/ELT tools and processes.
 <br/>
 <br/>
 Familiarity with cloud platforms such as AWS, Azure, or GCP.
 <br/>
 <br/>
 Knowledge of big data technologies, including Hadoop or Spark.
 <br/>
 <br/>
 <strong>
  Experience
  <br/>
  <br/>
 </strong>
 Minimum of 3 years of experience designing and developing complex, high-quality analytical solutions.
 <br/>
 <br/>
 3+ years of experience in data platform implementation and data architecture.
 <br/>
 <br/>
 7+ years of experience in technical and IT roles.
 <br/>
 <br/>
 Proven experience designing and implementing data architectures.
 <br/>
 <br/>
 Experience working with data governance, data quality, and data security.
 <br/>
 <br/>
 Past experience involving data strategy, data integration, and data infrastructure development.
 <br/>
 <br/>
 Experience working with business domain owners, enterprise architecture teams, IT leadership, and senior banking stakeholders.
 <br/>
 <br/>
 <strong>
  Soft Skills
  <br/>
  <br/>
 </strong>
 Strong analytical and problem-solving skills.
 <br/>
 <br/>
 Ability to communicate complex data concepts to non-technical stakeholders.
 <br/>
 <br/>
 Leadership and project management capabilities.
 <br/>
 <br/>
 Background in banking or financial services is preferred.
 <br/>
 <br/>
 Familiarity with metadata governance and data lineage is a plus.
 <br/>
 <br/>
 Familiarity with enterprise architecture tooling is a plus.
 <br/>
 <br/>
 TOGAF certification or a similar enterprise architecture certification is preferred.
</div>


MA'ADEN

<div><p><b>Job Purpose
</b></p><p>The Principal Specialist, Data Modeling &amp; Architecture leads the design, modeling, and evolution of the enterprise data architecture to ensure data products, curated layers, and integration patterns are standardized, scalable, high-quality, and governed. The role defines how diverse operational and corporate data should be modeled, aligned, and transformed to support analytics, enterprise reporting, and integration with downstream systems.
</p><p>This position is a senior technical authority responsible for defining modeling standards, shaping architecture decisions, and guiding multidisciplinary teams to achieve semantic consistency and reusability across domains, while enabling performance, interoperability, and trusted consumption.
</p><p><b>Key Accountabilities
</b></p><ul><li><p>Develop and maintain conceptual, logical, and physical data models aligned with business domains, using enterprise standards and modeling principles.
</p></li><li><p>Define canonical models, conformed dimensions, and reference data structures to enable consistent cross-domain reporting and analytics.
</p></li><li><p>Lead the creation and optimization of data product models and curated layer schemas (including time-variant structures and auditability) to support enterprise use cases.
</p></li><li><p>Ensure models consider platform and technology requirements (relational, non-relational, time-series, streaming) and are optimized for performance and maintainability.
</p></li><li><p>Establish integration patterns that ensure consistent transformation logic, metadata, lineage, and data quality across source-to-consumption pipelines.
</p></li><li><p>Define and maintain enterprise modeling standards, guidelines, naming conventions, and reusable templates to uplift modeling maturity across delivery teams.
</p></li><li><p>Review and approve modeling deliverables from internal teams and external vendors; provide design authority and quality assurance for key initiatives.
</p></li><li><p>Partner with governance to ensure business glossary alignment and stewardship ownership for critical entities and attributes.
</p></li><li><p>Mentor modelers, engineers, and analysts; lead model reviews and coaching to ensure consistent application of standards.
</p></li></ul><p>Minimum Qualifications, Experiences &amp; Competencies
</p><p><b>Minimum Qualifications:
</b></p><ul><li>Bachelor&rsquo;s degree in Computer Science/Engineering, Data Engineering, Information Systems, or related field.
</li>Master&rsquo;s degree preferred (Data Architecture, Software Engineering, or Analytics).<br>
<li>
</li></ul><p></p><p><b>Minimum Experience:
</b></p><ul><li>10&ndash;15 years of experience in data modeling, data architecture, or enterprise information architecture.
</li><li><p>Strong experience with cloud-native data platforms and metadata/governance tooling; demonstrated ability to influence architecture across multiple domains.<br>
</p></li></ul><p></p><p><b>Ma&rsquo;aden High-Performance Competencies:
</b></p><ul><li>Strategic Thinking &amp; Decision Making &ndash; Anticipates implications and guides enterprise direction.
</li><li>Collaboration &amp; Influencing &ndash; Aligns diverse stakeholders without direct authority.
</li><li>Execution Excellence &ndash; Sets high standards and ensures measurable outcomes.
</li><li>Innovation &amp; Adaptability &ndash; Applies modern practices and evolves standards pragmatically.
</li><li>Change Leadership &ndash; Drives adoption, governance, and continuous improvement.
</li></ul><p><b>Skills:
</b></p><ul><li>Mastery of conceptual, logical, and physical data modeling; dimensional modeling and domain-driven design concepts.
</li><li>Enterprise architecture and modeling principles; metadata management and lineage concepts.
</li><li>Design of curated data layers, data products, and integration patterns from source to consumption.
</li><li>Ability to balance governance, usability, and performance; strong design documentation and stakeholder communication.
</li><li>Proficiency with modeling tools and standards; ability to review and assure vendor deliverables.</li></ul></div><p></p>

Principal Specialist, Data Modeling & Arch

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Principal Specialist, Data Modeling & Arch