Enterprise Data & AI Platform Architect

Enterprise Data & AI Platform Architect Information Services Division (ISD) Job Location: 150 N 18th Ave, Phoenix, AZ 85007 Must reside in Arizona. Salary: $90,000 - $105,000 Grade: 29 FLSA Status: Exempt Closing date: Open until filled Remote work: May offer the ability to work remotely within Arizona upon meeting performance measures. Job Summary The Enterprise Data & AI Platform Architect provides advanced technical and architectural expertise in designing, modernizing, and operating AHCCCS’s enterprise data and AI platform. Reporting to the Data Warehouse Manager, the role steers the transformation of legacy systems into a secure, scalable Microsoft‑based ecosystem centered on Microsoft Fabric, Azure data services, and enterprise governance frameworks. Key responsibilities include defining and implementing enterprise data architecture standards to enable advanced analytics, AI, and ML capabilities, ensuring platform reliability, performance optimization, regulatory compliance, DevOps maturity, and AI enablement. Major duties and responsibilities Data Architecture & Design: Design and implement scalable enterprise data architecture solutions using Microsoft Fabric, develop data models, flow diagrams, blueprints, and ensure support for real‑time analytics, reporting, operational workflows, and AI enablement. Platform Implementation & Integration: Lead implementation of Microsoft Fabric components (Data Factory, Synapse Analytics, Power BI, Data Activator), design Azure data services, integrate legacy systems and develop governance frameworks using Microsoft Purview. Healthcare Data Management & Compliance: Design HIPAA‑compliant architectures, work with HL7, FHIR, X12 EDI, CMS specifications, support claims, eligibility, provider networks, and population health analytics. Leadership & Collaboration: Guide and mentor data engineers, review technical work, collaborate with stakeholders, lead proof‑of‑concept initiatives, document decisions. AI Enablement Architecture: Design AI‑ready data architectures for ML, predictive analytics, advanced AI workloads, establish governance for responsible AI usage. Performance & Operational Oversight: Optimize pipelines for performance, cost‑efficiency, reliability, implement data quality framework, design disaster recovery, establish performance benchmarks and SLAs. Knowledge, Skills & Abilities Enterprise data and AI platform architecture principles. Microsoft Fabric architecture and components. Azure services: Data Factory, Synapse Analytics, Azure SQL, Data Lake Storage, Cosmos DB, Databricks. Advanced data modeling methodologies. Data governance, metadata management, Microsoft Purview. Healthcare data standards including HL7, FHIR, X12, CMS specifications. HIPAA and regulatory compliance. DevOps practices, CI/CD pipelines, Infrastructure as Code. Integration patterns between on‑premises and cloud. Designing enterprise‑scale data and AI platform solutions. Providing technical leadership and mentoring. Performance tuning and cost optimization. Translating business objectives into architectural solutions. Communicating complex technical concepts to non‑technical stakeholders. Implementing DevOps and automated deployment pipelines. Developing and executing long‑term data architecture roadmaps. Balancing operational stability with modernization efforts. Leading cross‑functional collaboration. Analyzing complex business problems and designing scalable solutions. Maintaining meticulous data quality and documentation. Adapting to evolving technologies. Building strong internal and external stakeholder relationships. Qualifications Minimum: Bachelor’s degree in Computer Science, Information Systems, Data Science, or related field and ≥7 years of experience in data architecture/engineering with hands‑on experience in Azure, Power BI, Fabric, and designing enterprise‑scale data solutions. Preferred: Master’s degree; experience with Fabric, Synapse Analytics, Power BI, healthcare or public sector data environments; Microsoft certifications (Azure Data Engineer Associate, Azure Solutions Architect Expert, Fabric Analytics Engineer, Fabric Data Engineer, Power BI Data Analyst); familiarity with Informatica PowerCenter/IICS, IBM Cognos Analytics; Python or PySpark, Databricks, TOGAF or equivalent certification. Pre‑Employment Requirements Successful fingerprint background check, prior employment verifications and reference checks; accommodation as needed. May be required to travel for state business. Drivers may need driver training if driving on state business. Electronic Employment Eligibility Verification Program (E‑Verify) required. Benefits 10 paid holidays per year. Paid vacation and sick time off (13 and 12 days per year respectively). Paid parental leave up to 12 weeks per year. Other leaves: bereavement, civic duty, military. Lifetime pension benefits through Arizona State Retirement System. Robust insurance plan: medical, dental, life, disability. Eligibility for Public Service Loan Forgiveness Program. RideShare and public transit subsidy. Learning and career development opportunities. Retirement Lifetime Pension Benefit Program via Arizona State Retirement System. Deferred Retirement Compensation Program via Nationwide. Contact Us Persons with a disability may request reasonable accommodation by emailing View email address on click.appcast.io. Requests should be made early. The State of Arizona is an Equal Opportunity/Reasonable Accommodation Employer. #J-18808-Ljbffr Arizona State Government