enterprise data architect

QAFCO (Qatar Fertiliser Company)

<div>
 
 Job Summary
 
 
 
 The Enterprise Architect is responsible for defining, governing, and continuously evolving the organization&rsquo;s enterprise architecture across Information Technology (IT), Operational Technology (OT), Cybersecurity, Data, and Digital Office domains within the Oil &amp; Gas environment. The role ensures that all technology capabilities are fully aligned with corporate strategy, operational excellence objectives, HSE priorities, cybersecurity resilience requirements, and long-term digital transformation goals.
 
 
 The Enterprise Architect establishes an integrated architecture vision that connects business capabilities, industrial control systems, enterprise applications, data platforms, infrastructure, and digital collaboration environments into a secure, scalable, and future-ready ecosystem. This includes enabling IT/OT convergence while maintaining operational integrity, safety compliance, and cyber resilience in mission-critical environments.
 
 
 
 The Enterprise Architect Ensures That Technology Investments
 
 
 
 <ul>
 <li>
 Deliver measurable business value
 </li>
 <li>
 Improve operational efficiency and reliability
 </li>
 <li>
 Enhance cybersecurity posture
 </li>
 <li>
 Reduce technical debt and system redundancy
 </li>
 <li>
 Support regulatory compliance and risk management
 </li>
 <li>
 Enable data-driven decision-making across field and corporate operations
 
 
 </li>
 </ul>
 In addition, the role champions secure digital transformation by embedding cybersecurity-by-design principles, promoting zero-trust architecture, strengthening industrial control system protections, and ensuring business continuity in high-risk operational environments.
 
 
 The Enterprise Architect also leads the Digital Office strategy to modernize the workplace through cloud adoption, collaboration platforms, automation, AI-enabled productivity tools, and secure remote access solutions &mdash; improving workforce productivity and digital experience across corporate offices and remote field locations.
 
 
 Ultimately, the Enterprise Architect is accountable for building a resilient, innovative, and integrated technology landscape that enables sustainable growth, operational excellence, and competitive advantage in QAFCO.
 
 
 
 Key Accountabilities
 
 
 
 <ul>
 <li>
 Develop and maintain the enterprise architecture (EA) framework, principles, standards, policies and operating models.
 </li>
 <li>
 Define integrated IT/OT/cyber security /Digital architecture principles.
 </li>
 <li>
 Establish long-term IT road maps with alignment with business, cybersecurity, and Digital Office.
 </li>
 <li>
 Align IT strategy and architecture with business goals and corporate strategy.
 </li>
 <li>
 Define and manage enterprise technology roadmaps (short-, medium-, and long-term).
 </li>
 <li>
 Establish governance processes to ensure compliance with architectural standards.
 </li>
 <li>
 Translate business capabilities and strategy into technology architecture requirements.
 </li>
 <li>
 Partner with business stakeholders to understand transformation priorities.
 </li>
 <li>
 Ensure IT initiatives support enterprise-wide integration and optimization.
 </li>
 <li>
 Identify opportunities for digital innovation and automation.
 </li>
 <li>
 Define target-state architectures across:
 </li>
 </ul>
 <li>
 </li>
 <li>
 </li>
 <ul>
 <li>
 Business Architecture
 </li>
 <li>
 Application Architecture
 </li>
 <li>
 Data &amp; Information Architecture
 </li>
 <li>
 Infrastructure &amp; Cloud Architecture
 </li>
 <li>
 OT/ICS Architecture (SCADA, DCS, PLC)
 </li>
 <li>
 Cybersecurity Architecture
 </li>
 <li>
 Digital Workplace Architecture
 </li>
 <li>
 Integration Architecture
 </li>
 <li>
 Ensure secure integration between enterprise IT and operational technologies.
 </li>
 <li>
 Drive interoperability across production, refining, and distribution systems.
 </li>
 <li>
 Oversee system integration and interoperability standards.
 </li>
 <li>
 Ensure scalability, performance, and reliability of enterprise platforms.
 </li>
 <li>
 Establish enterprise data governance architecture.
 </li>
 <li>
 Enable enterprise data platforms and analytics.
 </li>
 <li>
 Support AI/ML, digital twins, and advanced analytics.
 </li>
 <li>
 Promote automation and RPA initiatives.
 </li>
 <li>
 Drive adoption of emerging digital technologies.
 </li>
 <li>
 Lead cloud adoption strategy.
 </li>
 <li>
 Evaluate and recommend emerging technologies.
 </li>
 <li>
 Rationalize application and technology portfolio to reduce redundancy.
 </li>
 <li>
 Lead legacy system modernization initiatives.
 </li>
 <li>
 Assess vendor solutions and ensure architectural fit.
 </li>
 <li>
 Ensure architectural designs comply with cybersecurity and regulatory requirements.
 </li>
 <li>
 Identify technical risks and develop mitigation strategies.
 </li>
 <li>
 Collaborate with Information Security and Risk teams.
 </li>
 <li>
 Support disaster recovery and business continuity planning.
 </li>
 <li>
 Provide architectural leadership across IT and business units.
 </li>
 <li>
 Mentor solution architects and technical teams.
 </li>
 <li>
 Present architecture strategies and investment cases to executive leadership.
 </li>
 <li>
 Act as a trusted advisor for strategic technology decisions.
 </li>
 <li>
 Promote best practices in architecture and solution design.
 </li>
 <li>
 Drive cloud adoption, automation, DevOps, and modernization strategies.
 </li>
 <li>
 Continuously evaluate architectural maturity and optimize frameworks.
 </li>
 <li>
 Participate in the on-the-job training of trainees and newly hired personnel within the Group to ensure that they develop the necessary skills to independently carry out assigned activities. Train End-Users in the application of newly developed systems.
 
 
 </li>
 </ul>
 
 Minimum Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s Degree in IT, Computer Engineering, or relevant discipline.
 </li>
 <li>
 7+ years direct and relevant experience.
 </li>
 </ul>
</div>

Enterprise Architect

Radinnova

Position OverviewWe are seeking an experienced Data Warehouse Architect to design, build, and evolve our enterprise data platform. This role is central to unifying data across our organization's critical business domains &mdash; including Order to Cash (O2C), Procure to Pay (P2P), and Finance Record to Report (R2R) &mdash; into a scalable, governed, and performant data warehouse. The ideal candidate brings deep expertise in enterprise data modeling, modern cloud data platforms, and hands-on experience integrating data from both large-scale ERP systems and niche industry platforms.Key ResponsibilitiesData Architecture &amp; Modeling<ul><li>Design and own enterprise-grade dimensional and relational data models across core business domains: Order to Cash (O2C), Procure to Pay (P2P), and Finance Record to Report (R2R)</li><li>Develop and maintain conceptual, logical, and physical data models aligned to business process frameworks (e.g., APQC, SAP reference models)</li><li>Establish and enforce data modeling standards, naming conventions, and architectural best practices across the organization</li><li>Define and manage data domains, subject areas, and data products to support self-service analytics and enterprise reporting</li></ul>Data Pipeline &amp; Integration<ul><li>Architect and oversee end-to-end data pipelines &mdash; ingestion, transformation, orchestration, and delivery &mdash; for batch and near-real-time workloads</li><li>Lead the integration of structured and semi-structured data from ERP and operational systems into the data warehouse</li><li>Evaluate, select, and implement ETL/ELT tools and frameworks appropriate to the platform stack</li><li>Ensure pipeline reliability, observability, and scalability through monitoring, alerting, and automated testing practices</li></ul>Cloud Platform Engineering<ul><li>Architect and manage cloud-based data warehouse environments on Microsoft Fabric and/or AWS (Redshift, Glue, S3, Lake Formation, or equivalent)</li><li>Design lakehouse and medallion architectures (Bronze / Silver / Gold) where appropriate</li><li>Optimize platform performance, cost, and security in alignment with enterprise cloud governance standards</li></ul>ERP &amp; Source System Integration<ul><li>Lead data extraction and mapping from enterprise ERP platforms, like SAP including complex financial, procurement, and sales modules</li><li>Integrate data from niche and industry-specific ERP platforms including Clipboard K8 and Stone Profit System</li><li>Collaborate with ERP functional teams to understand business processes, data flows, and source-system data quality characteristics</li><li>Document source-to-target mappings and maintain data lineage across all integrated systems</li></ul>Governance &amp; Quality<ul><li>Define and implement data governance frameworks, including data ownership, stewardship, and quality rules across integrated domains</li><li>Partner with data governance and compliance teams to ensure data accuracy, completeness, and auditability &mdash; especially for financial reporting (R2R)</li><li>Implement and maintain master data management (MDM) principles for key entities such as customers, vendors, and chart of accounts</li></ul>Leadership &amp; Collaboration<ul><li>Serve as the technical lead and subject matter expert for all data warehouse and data modeling initiatives</li><li>Mentor and guide data engineers and analysts on architecture standards and best practices</li><li>Partner with business stakeholders across Finance, Supply Chain, and Operations to translate requirements into scalable data solutions</li><li>Engage with vendors, consultants, and third-party data providers as needed</li></ul>Required Qualifications<ul><li>5&ndash;10 years of progressive experience in data warehousing, data architecture, or data engineering roles</li><li>Proven expertise designing enterprise data models for Order to Cash, Procure to Pay, and/or Finance Record to Report business domains</li><li>Strong proficiency in SQL and experience with dimensional modeling (Kimball, Inmon) and modern data vault methodologies</li><li>Hands-on experience building and managing data pipelines using tools such as dbt, Azure Data Factory, AWS Glue, Apache Airflow, or similar</li><li>Demonstrated experience with cloud data platforms &mdash; Microsoft Fabric and/or AWS (Redshift, S3, Glue, Athena, etc.)</li><li>Meaningful experience integrating data from SAP including financial, logistics, and procurement modules</li><li>Solid understanding of data governance, data quality frameworks, and metadata management</li></ul>Preferred Qualifications<ul><li>Experience with niche ERP platforms including Clipboard K8 and/or Stone Profit System</li><li>Familiarity with Microsoft Fabric components: OneLake, Lakehouse, Data Pipelines, and Semantic Models</li><li>AWS certifications (e.g., AWS Certified Data Analytics &ndash; Specialty) or Microsoft certifications (e.g., DP-700 Fabric Analytics Engineer)</li><li>Experience with BI and reporting platforms such as Power BI, Tableau, or Phocas</li><li>Background in financial close processes, revenue recognition, or supply chain operations</li><li>Familiarity with data catalog and lineage tools (e.g., Purview, Alation, Collibra)</li><li>Experience with real-time or streaming data architectures (Kafka, Kinesis, Event Hubs)</li></ul>Work Location: Hybrid remote in Livonia, MI 48150

Data Warehouse Architect

Imagineeer

<div><div><div>Benefits:</div>
<ul><li>401(k) matching</li>
<li>Competitive salary</li>
<li>Health insurance</li>
<li>Paid time off</li>
</ul></div><div><div>About this Role: 
</div>
<div> 
The Data Architect / Enterprise Data Analyst will provide data strategy, architecture, and analytics expertise to support enterprise data initiatives across the U.S. Department of Health and Human Services (HHS). This role will define and implement data architecture frameworks, data governance standards, and enterprise data management (EDM) solutions to improve data quality, accessibility, security, and interoperability across systems and organizations. 
</div>
<div> 
The ideal candidate will have experience working in federal data environments, including designing enterprise data models, developing data integration strategies, and supporting data modernization and cloud migration projects. The role also requires strong collaboration skills to work with IT leadership, system owners, data stewards, and mission stakeholders to enable informed decision-making through trusted and well-governed data. 
</div><div>Key Responsibilities: 
</div><ul><li>Develop logical data models aligned to HRIT product lines, ensuring full compliance with HHS data governance policies to support the modernization of Human Capital Management (HCM) capabilities.</li></ul> 
<ul><li>Develop a comprehensive Data Migration Plan, including a phased migration strategy, data transformation protocols, validation and testing procedures, and rollback contingencies to support the transition to the Target State of HRIT modules.</li></ul> 
<ul><li>Support the design, development, testing, and deployment of HRIT applications and APIs, ensuring seamless data integration across a consolidated and modernized HCM platform.</li></ul> 
<ul><li>Deliver a comprehensive data integrity approach, ensuring robust data quality checks are in place to support the unified platform.</li></ul> 
<ul><li>Collaborate with the Data Governance Architect to establish a robust Data Stewardship framework.</li></ul> 
<ul><li>Support the technical team in developing and testing integrations between enterprise systems, leveraging technologies such as Web Services, REST/SOAP APIs, and</li></ul> 
<div>Integration Broker. Perform rigorous testing to ensure accurate and reliable data transmission across interconnected applications. 
</div><ul><li>Develop reports, queries, and analytics solutions to support business intelligence and operational insights.</li></ul> 
<ul><li>Create and maintain technical documentation for all configurations, customizations, and integrations.</li></ul> 
<ul><li>Collaborate with functional analysts, DBAs, and infrastructure teams to optimize system performance and reliability.</li></ul> 
<ul><li>Support upgrades, patches, and maintenance activities with minimal operational disruption.</li></ul> 
<ul><li>Apply federal compliance best practices, including security (NIST), accessibility (Section 508), and records management.</li></ul> 
<ul><li>Provide mentorship to junior developers and contribute to team knowledge through code reviews and technical guidance.</li></ul><div> 
 
</div><div>Qualifications and Skills: 
</div><ul><li>Bachelor&rsquo;s degree in Computer Science, Information Technology, or a related discipline.</li></ul> 
<ul><li>Proficient in SQL and relational database design, supporting scalable and efficient data solutions.</li></ul> 
<ul><li>Proven success working within federal government systems or comparable enterprise environments.</li></ul> 
<ul><li>At least 10 years of experience working as a Data Analyst, Data Modelling and/or Business Intelligence Domain.</li></ul><div> 
</div>
<ul><li>Eligible to obtain and maintain a Public Trust clearance/must be a US Citizen</li></ul> 
<ul><li>Certified in data governance and management (e.g., CDMP, DGCP).</li></ul> 
<ul><li>Hands-on experience implementing the Federal Data Strategy and supporting open data initiatives.</li></ul> 
<ul><li>In-depth knowledge of the Federal Enterprise Architecture Framework, including HHS EA (HHS-OCIO-OES-2024-10-005).</li></ul> 
<ul><li>Skilled in conducting data privacy impact assessments and applying NIST data security guidelines.</li></ul> 
<ul><li>Familiar with AI governance, and responsible machine learning practices.</li></ul> 
<ul><li>Proficient in cloud-based data governance, master data management, and data architecture principles.</li></ul> 
<ul><li>Experienced with business intelligence and data visualization tools.</li></ul> 
<ul><li>Knowledgeable in records management standards and federal compliance procedures.</li></ul> 
<div>Desired Skills and Competencies: 
</div><ul><li>Experience supporting HHS or other federal health agencies (CMS, NIH, HRSA, FDA, CDC).</li>
<li>Familiarity with federal data policies such as the Federal Data Strategy and CDO requirements.</li>
<li>Experience with enterprise data warehouses or data lakes.</li>
<li>Certifications such as CDMP, AWS Data Analytics, Azure Data Engineer, or DAMA.</li>
<li>Knowledge of FHIR, HL7, NIEM or federal data interoperability standards.</li>
<li>Experience with API integrations, service-oriented architecture (SOA), or microservices.</li>
</ul>
</div>Flexible work from home options available.</div>

Data Architect-Enterprise Data Analyst

Work From Home

<div><h5 class="jobSectionHeader">This is OUR story... and YOUR next chapter</h5>
At HCA Healthcare, our Digital Transformation and Innovation (DT&amp;I) team is redefining what&rsquo;s possible inpatient care. Byleveragingthe power of artificial intelligence, automation, and digital technologies, DT&amp;I is helping drive meaningful improvements in clinical outcomes, reduce manual workload, and expand the reach of our care teams. Ifyou'repassionate about using technology to improve human life, this is where your work truly matters<h5 class="jobSectionHeader">
What you will accomplish in this role</h5> 
What you will do:
Core Competencies
The following are highlighted entrepreneurial competencies and core expectations for the job/role:<ul><li>
Strategic thinking and architectural leadership</li><li>
Deep technical expertise in cloud data platforms</li><li>
Strong problem-solving and systems design skills</li><li>
Ability to bridge business, clinical, and technical domains</li><li>
Clear written and verbal communication</li></ul>
This role will focus on setting technical direction on groups of applications and similar technologies as well as taking responsibility for the implementation of technically robust solutions encompassing all business, architecture, and technology constraints.
Technical Leadership &amp; Architecture<ul><li>
Define and own enterprise-scale data architecture patterns for multi-modal ingestion and Lakehouse platforms on Google Cloud Platform.</li><li>
Architect and evolve document-centric and unstructured data pipelines that support ingestion, enrichment, embedding, indexing, storage, and retrieval at scale.</li><li>
Lead the design of intelligent ingestion frameworks leveraging LLMs and advanced techniques (e.g., semantic chunking, embeddings, metadata extraction, classification, and enrichment).</li><li>
Establish architectural standards for cost-optimized, high-throughput ingestion across batch, streaming, and event-driven workloads.</li><li>
Drive platform designs that support search, analytics, and downstream AI/ML use cases in partnership with the AI/ML organization.</li></ul>
Lakehouse &amp; Data Platform Design<ul><li>
Architect and manage enterprise Lakehouse environments using technologies such as BigQuery, Apache Iceberg, Delta Lake, and GCS.</li><li>
Ensure strong design around schema evolution, ACID compliance, partitioning strategies, metadata management, and lifecycle policies.</li><li>
Optimize storage and compute usage to balance performance and cost across large-scale document and data repositories.</li><li>
Design data models and access patterns that support both analytical and AI-driven workloads.</li></ul>
Ingestion, Processing &amp; AI Enablement<ul><li>
Design and oversee ETL/ELT and ingestion pipelines using Dataflow, Dataproc, Pub/Sub, Cloud Run, GKE, and related services.</li><li>
Integrate AI/ML services into ingestion and processing pipelines for document understanding and content intelligence in partnership with that practice area.</li><li>
Partner with AI/ML teams to enable embedding generation, vector storage, and retrieval patterns aligned with enterprise governance standards.</li><li>
Ensure ingestion frameworks are resilient, observable, and designed for continuous evolution.</li></ul>
API Architecture &amp; Governance 
<ul><li>
Design and implement enterprise-grade REST and event-driven APIs aligned with OpenAPI specifications, versioning standards, and backward compatibility principles.</li><li>
Define and enforce API governance frameworks including naming conventions, authentication patterns, rate limiting, pagination strategies, and error handling standards.</li><li>
Architect API layers that serve both human-facing applications and AI agent consumers, ensuring consistent contract design across all downstream integrations.</li><li>
Collaborate with platform and engineering teams to establish API lifecycle management practices including deprecation policies, schema validation, and automated compliance checks.</li><li>
Design secure API access patterns for PHI-sensitive and regulated data, incorporating encryption, scoping, and audit logging requirements.</li><li>
Partner with vendor and internal delivery teams to review, validate, and approve API designs prior to implementation, ensuring alignment with enterprise architecture standards.</li></ul>
Governance, Security &amp; Compliance<ul><li>
Define and enforce best practices for data governance, security, privacy, and compliance (HIPAA, GDPR) across structured and unstructured data.</li><li>
Ensure architectural alignment with enterprise policies for data retention, lineage, access control, and auditability.</li><li>
Participate in and lead architectural design reviews to ensure adherence to standards and patterns.</li></ul>
Collaboration &amp; Influence<ul><li>
Collaborate with business, clinical, analytics, and engineering stakeholders to translate requirements into scalable architectural solutions.</li><li>
Provide architectural guidance for cloud migrations and modernization initiatives involving document and data platforms.</li><li>
Maintain a holistic view of enterprise information assets through diagrams, reference architectures, and technical roadmaps.</li><li>
Act as a technical mentor and advisor to senior engineers and architects.</li></ul><h6 class="jobSectionHeader">
What qualifications you will need:</h6><ul><li>
Bachelor's degree in computer science, related technical field, or equivalent experience required</li><li>
Master's degree in computer science or related field preferred</li><li>
3+ years of experience in Cloud Data or Information Architect required</li><li>
5+ years of experience in Healthcare preferred</li><li>
10+ years of experience in Information Technology required</li></ul>
A successful candidate will demonstrate:<ul><li>
Deep experience designing enterprise data architectures on Google Cloud Platform or other Cloud Service Providers.</li><li>
Hands-on expertise with GCP services, including:</li><li>
BigQuery, Cloud Storage, Dataflow, Dataproc</li><li>
Pub/Sub, Cloud Run, GKE, Cloud Functions</li><li>
Bigtable, Cloud SQL, Cloud Spanner</li><li>
Strong knowledge of Lakehouse technologies and formats: Iceberg, Delta Lake, Parquet, Avro, JSON.</li><li>
Experience with document and unstructured data processing, including ingestion, enrichment, and indexing.</li><li>
Practical experience integrating LLMs and AI frameworks (e.g., Vertex AI, LangChain, embeddings, RAG patterns) into data pipelines.</li><li>
Proficiency in Python, SQL, and JVM-based languages (Java/Scala).</li><li>
Experience with CI/CD, DevOps, and infrastructure-as-code for data platforms.</li><li>
Strong understanding of data security, privacy, and regulatory requirements in cloud environments.</li><li>
Ability to analyze complex problems, modernize legacy pipelines, and design scalable solutions.</li><li>
Ability to communicate complex architectures clearly to both technical and non-technical audiences.</li></ul>
Certifications (a plus, but not required):<ul><li>
GCP Professional Data Engineer</li><li>
GCP Professional Cloud Architect</li></ul>
PHYSICAL DEMANDS/WORKING CONDITIONS (Specific statements of physical effort required and description of work environment; e.g., prolonged sitting at CRT. required travel %)
Prolonged sitting or standing at computer workstation including use of mouse, keyboard, and monitor.
Requires ability to provide after-hours support.
At HCA Healthcare, we are committed to fostering a culture of growth that allows you to build the career of a lifetime. We encourage you to apply for our Principal Data Architect today. We review all applications promptly, and qualified candidates will be contacted to continue the process. Join us!
We are an equal opportunity employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.</div>

Principal Data Architect

Forsyth Barnes

<div>
 
 
 Enterprise Technical Architect &ndash; Retail &amp; Digital Commerce
 
 
 
 Contact: charlie.day@forsythbarnes.com
 
 
 
 
 
 Dubai, UAE
 
 
 We are partnering with a leading retail organisation to hire an
 
 Enterprise Technical Architect
 
 to shape and drive the architecture strategy for their
 
 omnichannel retail and ecommerce platforms
 
 .
 
 
 
 
 
 This role will play a key part in aligning technology with business growth across multiple regions, designing scalable, cloud-native solutions across the organisation&rsquo;s digital ecosystem.
 
 
 
 
 
 
 Key Responsibilities
 
 
 
 &bull; Define and lead the
 
 enterprise architecture strategy
 
 for omnichannel retail platforms
 
 
 &bull; Design scalable solutions across
 
 ecommerce, OMS, ERP, CRM, POS, CMS, Loyalty and PIM
 
 
 
 
 systems
 
 
 
 &bull; Drive architecture across
 
 Azure cloud environments, integrations and microservices
 
 
 
 &bull; Lead
 
 API-first and event-driven integration strategies
 
 
 
 &bull; Promote
 
 DevOps, CI/CD and modern engineering practices
 
 
 
 &bull; Ensure platforms meet
 
 security, performance and compliance standards
 
 
 
 
 
 
 
 Key Requirements
 
 
 
 &bull; Strong experience in
 
 Enterprise / Technical Architecture
 
 
 
 &bull; Hands-on background with
 
 C# / .NET and Azure cloud
 
 
 
 &bull; Experience with
 
 microservices, event-driven architecture and integrations
 
 
 
 &bull; Exposure to
 
 retail, ecommerce or omnichannel platforms
 
 
 
 &bull; Strong stakeholder management and leadership skills
 
 
 
 
 
 We are looking for a
 
 well-rounded architect with solid experience across cloud, integrations and digital commerce platforms
 
 , rather than a deep specialist in a single area.
 
</div>

Enterprise Architect (Ref: 194898)

Nagarro

<div>
 
 Job Description
 
 
 
 We are seeking an
 
 AI Architecture Leader
 
 to design and govern enterprise-scale AI ecosystems for major UAE clients. This role combines
 
 technical leadership, solution design, and strategic advisory
 
 , focusing on
 
 Generative AI, agentic systems, and cloud-native engineering
 
 .
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Define enterprise AI operating models, governance, and architectural standards.
 </li>
 <li>
 Lead multi-year AI transformation roadmaps and platform modernization.
 </li>
 <li>
 Architect end-to-end AI ecosystems: LLM agents, RAG workflows, multimodal AI, RLHF.
 </li>
 <li>
 Establish modular, reusable patterns for scalable and compliant AI platforms.
 </li>
 <li>
 Partner with business and tech leaders to shape AI strategy and value propositions.
 </li>
 <li>
 Conduct technical workshops, pre-sales reviews, and solution design sessions.
 
 
 </li>
 </ul>
 
 Must-Have Skills:
 
 
 
 <ul>
 <li>
 AI Application Solution Design (Strong)
 </li>
 <li>
 Cloud-Native GenAI Development (Strong)
 </li>
 <li>
 Data Science on Azure (Strong)
 </li>
 <li>
 Machine Learning Solution Design (Strong)
 </li>
 <li>
 Advanced RAG Workflow Design (Strong)
 </li>
 <li>
 Hands-on Python and experience with agentic GenAI systems.
 
 
 </li>
 </ul>
 
 Nice-to-Have:
 
 
 
 <ul>
 <li>
 Experience with Compass AI services.
 </li>
 <li>
 Arabic language proficiency (verbal &amp; written).
 
 
 </li>
 </ul>
 Join us to
 
 shape enterprise AI architecture and accelerate digital transformation across the UAE
 
 .
</div>

Enterprise AI Architect

Thomas Jefferson University & Jefferson Health

<div>Job Details
This position provides strategic direction and thought leadership for enterprise‑wide data warehousing and infrastructure. They architect large‑scale solutions, set long‑term governance frameworks, and ensure data assets are leveraged for transformation and competitive advantage. This role drives innovation by adopting emerging technologies and guiding cross‑functional teams through complex integrations. Experts influence executive decisions by translating infrastructure capabilities into business growth opportunities.
Job Description
Summary
 
This position provides strategic direction and thought leadership for enterprise‑wide data warehousing and infrastructure. They architect large‑scale solutions, set long‑term governance frameworks, and ensure data assets are leveraged for transformation and competitive advantage. This role drives innovation by adopting emerging technologies and guiding cross‑functional teams through complex integrations. Experts influence executive decisions by translating infrastructure capabilities into business growth opportunities.
 
 
Job Duties
<ul><li>Define enterprise-level data architecture and infrastructure strategy.
</li><li>Lead design of advanced data warehouses, data lakes, and hybrid architectures.
</li><li>Drive adoption of best practices in automation, DevOps, and CI/CD for data systems.
</li><li>Evaluate and implement emerging technologies (AI/ML integration, advanced analytics).
</li><li>Partner with executives and stakeholders to align data infrastructure with business strategy.
</li><li>Serve as a subject matter expert and mentor across the organization.
</li><li>Guide cloud resource planning, cost optimization, and capacity management.
</li><li>Troubleshoot higher-level cloud issues and coordinate with vendors or internal teams.
</li><li>Collaborate with DevOps, Security, and Product teams on cloud roadmaps. 
</li></ul> 
Minimum Qualifications
<ul><li>Bachelor&rsquo;s Degree Business, Computer Science, Finance, Information Systems or related field.
</li><li>7 years experience in data engineering and infrastructure with a demonstrated ability to influence organizational strategy and lead innovation.
</li><li>Proficiency in Python, SQL, ETL packages, strategic design of extractions, and data integration process.
</li><li>Expert knowledge of business intelligence applications and modeling concepts.
</li><li>Expertise with cloud-based data tools (Azure Fabric, Data Factory, Synapse, or similar).
</li><li>Strong understanding of Azure resource management, security controls, and cloud governance.
</li><li>Deep expertise in multiple data warehousing platforms and cloud ecosystems.
</li><li>Experience with advanced data governance, compliance, and security frameworks.
</li><li>Strong knowledge of interoperability standards and enterprise integration.
</li><li>Excellent communication and leadership skills. 
</li></ul> 
Physical Demands
 
Lift and carry 25 lbs. frequent sitting/standing, frequent keyboard use, *patient care providers may be required to perform activities specific to their role including kneeling, bending, squatting and performing CPR.
 
 
Job Description Disclaimer: This position description provides the major duties/responsibilities, requirements and working conditions for the position. It is intended to be an accurate reflection of the current position, however management reserves the right to revise or change as necessary to meet organizational needs. Other responsibilities may be assigned when circumstances require.
Work Shift
Workday Day (United States of America)
Worker Sub Type
Regular
Employee Entity
Thomas Jefferson University
Primary Location Address
1100 Virginia Drive, Fort Washington, Pennsylvania, United States of America
Nationally ranked, Jefferson, which is principally located in the greater Philadelphia region, Lehigh Valley and Northeastern Pennsylvania and southern New Jersey, is reimagining health care and higher education to create unparalleled value. Jefferson is more than 65,000 people strong, dedicated to providing the highest-quality, compassionate clinical care for patients; making our communities healthier and stronger; preparing tomorrow's professional leaders for 21st-century careers; and creating new knowledge through basic/programmatic, clinical and applied research. Thomas Jefferson University , home of Sidney Kimmel Medical College, Jefferson College of Nursing, and the Kanbar College of Design, Engineering and Commerce, dates back to 1824 and today comprises 10 colleges and three schools offering 200+ undergraduate and graduate programs to more than 8,300 students. Jefferson Health , nationally ranked as one of the top 15 not-for-profit health care systems in the country and the largest provider in the Philadelphia and Lehigh Valley areas, serves patients through millions of encounters each year at 32 hospitals campuses and more than 700 outpatient and urgent care locations throughout the region. Jefferson Health Plans is a not-for-profit managed health care organization providing a broad range of health coverage options in Pennsylvania and New Jersey for more than 35 years.
Jefferson is committed to providing equal educational and employment opportunities for all persons without regard to age, race, color, religion, creed, sexual orientation, gender, gender identity, marital status, pregnancy, national origin, ancestry, citizenship, military status, veteran status, handicap or disability or any other protected group or status.
Benefits
Jefferson offers a comprehensive package of benefits for full-time and part-time colleagues, including medical (including prescription), supplemental insurance, dental, vision, life and AD&amp;D insurance, short- and long-term disability, flexible spending accounts, retirement plans, tuition assistance, as well as voluntary benefits, which provide colleagues with access to group rates on insurance and discounts. Colleagues have access to tuition discounts at Thomas Jefferson University after one year of full time service or two years of part time service. All colleagues, including those who work less than part-time (including per diem colleagues, adjunct faculty, and Jeff Temps ), have access to medical (including prescription) insurance.
For more benefits information,</div>

Expert Analyst Data Management

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