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
Artificial Intelligence • Security • Business Intelligence • Consulting • Cybersecurity
Conduct open-source intelligence investigations and produce actionable analysis for clients across geopolitical, cybersecurity, executive protection, due diligence, and threat-monitoring issues. Collect and analyze structured and unstructured data, research investigative tools and datasets, assess online footprints, create executive-ready deliverables, and brief clients on findings and mitigation options. The role is fully remote and requires collaboration across a distributed intelligence team.
Top Skills:
Google WorkspacemacOSMonday.ComOsint Investigative Tools
Machine Learning • Payments • Security • Software • Financial Services
Lead design, development, testing, and deployment of scalable Java/Spring Boot/Angular applications. Provide technical leadership and mentorship, define architectures, collaborate with product and cross-functional teams, review code, ensure quality/security/performance, troubleshoot production issues, and drive process and tool improvements.
Top Skills:
AngularJavaSpring Boot
Artificial Intelligence • Fintech • Insurance • Marketing Tech • Software • Analytics
Handles inbound calls and warm leads, consults customers on insurance needs, recommends appropriate Property and Casualty coverage, and converts prospects into policyholders. The role includes paid training and licensing, customer service, sales closing, and brand representation. Employees work remotely on assigned evening and weekend schedules, using company-provided equipment and a wired high-speed internet connection.
Top Skills:
Cable InternetDsl InternetFiber InternetPc
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine
