Lead the design and governance of an enterprise data platform, ensuring it is secure and AI-ready through architecture, data engineering, compliance, and performance optimization.
Job Summary
We are seeking a seasoned Azure Solutions Architect specializing in Microsoft Fabric to lead the design and governance of our enterprise data platform. You will bridge traditional Azure infrastructure with unified SaaS capabilities, ensuring our data ecosystem is secure, performant, and AI-ready.
Key Responsibilities:
- Architecture & Design: Architect end-to-end data solutions using Microsoft Fabric workloads, including OneLake, Lakehouse, and Warehouse.
- Data Engineering: Implement Medallion Architecture (Bronze, Silver, Gold layers) and scalable ETL/ELT pipelines using Fabric Data Pipelines and Dataflows Gen2.
- Governance & Compliance: Define and enforce platform governance using Microsoft Purview, ensuring data lineage, access control, and regulatory compliance.
- Performance Optimization: Monitor and tune Fabric Capacity (SKUs) to optimize cost-efficiency and processing speed.
- BI Integration: Design high-performance semantic models and visualizations in Power BI using Direct Lake mode.
- AI Enablement: Design metadata patterns and structures to support Generative AI and Retrieval-Augmented Generation (RAG) workloads.
Required Qualifications
Preferred Skills
- Experience: 10+ years in Data Architecture/Engineering, with 5+ years in Azure and 2+ years specifically in Microsoft Fabric
- Experience with Real-Time Intelligence and Data Activator within Fabric.
- Familiarity with the Azure Well-Architected Framework.
Education: Bachelor’s or Master’s degree in Computer Science, Information Technology, or a related field.
Similar Jobs
Fintech • Machine Learning • Payments • Software • Financial Services
Leads and develops multiple teams of product-focused software engineers building customer-facing shopping technology. Oversees full-stack development, cloud deployments, microservices modernization, enterprise architecture, scalability, resilience, and technical strategy. Partners with product and business leaders to align roadmaps with technology capabilities, establishes engineering standards, mentors senior engineers, and drives talent development, innovation, and succession planning.
Top Skills:
Agentic Ai Coding ToolsAWSBig DataC#GoGCPJavaJavaScriptJSONMachine LearningMicroservicesAzureNetworking ProtocolsNode.jsNosql DatabasesPythonReactRelational DatabasesRestRustScalaSpa FrameworksTypescript
Fintech • Machine Learning • Payments • Software • Financial Services
Leads technical vision and architecture for complex software systems, ensuring scalable, operable, high-quality implementations. Modernizes monoliths into microservices and event-driven platforms, defines platform strategy and API standards, leads cross-domain initiatives, and mentors engineers. The role requires deep expertise in software engineering, solution and enterprise architecture, cloud computing, data architecture, distributed systems, and full lifecycle development.
Top Skills:
Agentic Ai Coding ToolsAPIsAWSC#DatabasesDistributed SystemsEvent-Driven ArchitecturesGoGCPJavaJavaScriptMachine Learning SystemsMicroservicesAzureNetworking ProtocolsPythonRustScalaSpa FrameworksTypescriptVirtualization Technologies
Fintech • Machine Learning • Payments • Software • Financial Services
Leads and develops multiple teams of full-stack software engineers building customer-facing shopping technology. Responsibilities include mentoring engineers, partnering with product managers, improving engineering practices, designing scalable and resilient solutions, deploying applications to cloud environments, modernizing monoliths into microservices, and guiding architecture, testing, production support, and innovation across Agile teams.
Top Skills:
AgileAWSBig DataC#Distributed SystemsGoGCPHpcJavaJavaScriptJSONMachine LearningMicroservicesAzureNetworking ProtocolsNode.jsNosql DatabasesPythonReactRelational DatabasesRestRustScalaSpa FrameworksTypescriptVirtualization Technologies
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering

