Enterprise Data Analytics & AI Developer/Architect

Tech Partners is partnering with a client to identify an Enterprise Data Analytics and AI Developer who will lead the design and delivery of secure, scalable, and production-ready data and AI solutions across the organization. This role sits at the intersection of data engineering, analytics, AI application development, and enterprise architecture, with a strong emphasis on Microsoft Fabric and Microsoft AI Foundry.

You'll work cross-functionally with enterprise architecture, engineering, governance, and business teams to translate business outcomes into robust technical solutions. This is a hands-on, senior-level role with responsibility for strategy, solution delivery, technical leadership, and operational excellence.

The interview process includes an in-person interview in San Diego.

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• Partner with enterprise architecture teams to define enterprise data and AI roadmaps.
• Develop reference architectures and design patterns for Microsoft Fabric and AI Foundry.
• Establish data service standards, semantic modeling conventions, and AI model lifecycle policies.
• Influence enterprise security, privacy, and compliance for data and AI workloads.

Technical & Project Leadership

• Lead end-to-end delivery from discovery and design through build, release, and production support.
• Own technical quality gates, including design reviews, security reviews, and production readiness.
• Drive non-functional requirements such as performance, scalability, cost optimization, and observability.
• Coordinate integrations with third-party data sources and enterprise systems.

• Design and implement Lakehouse and Warehouse architectures in OneLake.
• Build ETL pipelines using Data Factory, notebooks, shortcuts, and data mirroring.
• Develop and optimize Power BI semantic models and datasets.
• Implement real-time and operational analytics using KQL.
• Harden solutions with RBAC, sensitivity labels, RLS/OLS, OAuth, SAML, and governance tooling.
• Automate CI/CD for Fabric assets using deployment pipelines.

• Design, configure, and deploy custom copilots using Microsoft Copilot Studio.
• Integrate copilots into Teams and SharePoint experiences.
• Select, evaluate, and manage models using AI Foundry model catalog and control plane.
• Build and operate single- and multi-agent solutions with Agent Service.
• Implement RAG solutions using Azure AI Search and vector indices.
• Configure observability, evaluations, guardrails, and data leakage prevention.
• Design and train ML models to solve business problems.

• Establish CI/CD using GitHub for data and AI assets.
• Implement automated testing, monitoring, logging, and runbooks.
• Enable cost observability and capacity right-sizing.
• Support UAT, cutover, incident response, and production operations.

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• 7+ years of experience in enterprise data engineering, analytics engineering, and/or AI application development.
• Proven delivery of production-grade solutions in Azure environments.
• Strong experience working across large, complex enterprise organizations.

• Microsoft Fabric: OneLake, Data Factory, Lakehouse, Warehouse, KQL/Real-Time Intelligence, Power BI semantic models.
• Microsoft AI Foundry: Model catalog, Agent Service, evaluations/observability, guardrails, and control plane.
• Copilot Studio: Building and deploying custom copilots integrated into Teams/SharePoint.
• RAG implementations using Azure AI Search and vector databases.
• Strong SQL, Python, and KQL skills.
• Deep understanding of data modeling (Kimball, EDW, Streaming, Lakehouse).
• CI/CD, automated testing, IaC, monitoring, and operational readiness.
• Data governance, privacy, and security (RBAC, sensitivity labels, RLS/OLS, DLP).

• Strong communication skills with the ability to explain complex technical concepts to non-technical stakeholders.
• Proven ability to lead, mentor, and influence across teams.

• Must be able to attend an in-person interview in San Diego.
• Valid driver's license and active personal auto insurance required.
• Ability to pass a background check and pre-employment drug screening.

• Bachelor's degree in Computer Science, Information Systems, or related field.
• Microsoft certifications (Azure Data Engineer, Azure AI Engineer, Fabric).
• Experience with Purview, DLP, compliance frameworks, and regulated environments.
• Experience integrating ERPs and other enterprise systems.

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