Genzeon, an AI and automation company with deep engineering and data expertise, dedicated to serving the healthcare and retail industries. Our platform solutions – including HIP One, CompliancePro Solutions, and Patient Engagement Solutions – empower organizations to scale innovation and transform outcomes.
Genzeon is a global community of innovators and problem-solvers, with a culture built on inclusion, flexibility, and purpose-driven work. With four global delivery centers, we support providers, payers, Healthtech, and retail organizations worldwide.
Genzeon has an exciting opening for Microsoft Fabric Solution Architect to join our dynamic team.
Job Title: Microsoft Fabric Solution Architect
Experience: 10–15 Years (5+ years in Data Architecture; 2+ years with Microsoft Fabric / Azure Analytics)
Location: Remote
Employment Type: Contract
Job Summary
We are seeking an experienced Microsoft Fabric Solution Architect to lead the modernization of the enterprise data platform by migrating from Azure SQL and traditional ETL architectures to Microsoft Fabric. The architect will define the target-state architecture, migration strategy, governance model, and best practices, while guiding Data Fabric Engineers through implementation.
This role requires strong hands-on architecture expertise across Lakehouse, OneLake, Fabric Data Factory, Spark, Fabric Warehouse, and Power BI, along with stakeholder leadership and design authority.
Key Responsibilities
Architecture & Design Leadership
- Define the end-to-end Microsoft Fabric architecture covering ingestion, storage, transformation, analytics, and consumption.
- Design a Lakehouse-based target architecture using OneLake and Medallion (Bronze/Silver/Gold) patterns.
- Establish standards for workspace design, naming conventions, and artifact organization.
- Define data modeling strategies (Lakehouse vs Fabric Warehouse).
Migration Strategy & Execution
- Assess the current Azure SQL + ETL landscape and define a phased migration roadmap.
- Decide modernization approaches: lift-and-shift, re-platform, or re-architect.
- Define patterns for incremental loads, CDC, and historical backfills.
- Guide Data Fabric Engineers during migration execution and resolve design challenges.
Governance, Security & Compliance
- Define enterprise-grade security and governance architecture for Fabric.
- Align RBAC, workspace permissions, data access policies, and sensitivity labels.
- Integrate Microsoft Purview for cataloging, lineage, and compliance.
- Ensure adherence to regulatory and organizational standards.
Performance, Scalability & Cost
- Define capacity planning and scaling strategies (F-SKU).
- Design for performance optimization across Spark, pipelines, and Warehouses.
- Establish cost-optimization and FinOps best practices.
- Ensure high availability, resilience, and operational scalability.
DevOps & Operational Readiness
- Define CI/CD strategy for Fabric artifacts using Git and Azure DevOps.
- Establish environment separation (Dev/Test/Prod).
- Define monitoring, alerting, and operational support models.
- Create architecture runbooks and design documentation.
Stakeholder & Team Leadership
- Act as the technical authority for Fabric-related decisions.
- Collaborate with business stakeholders, BI teams, security, and platform admins.
- Mentor and guide Data Fabric Engineers on architecture best practices.
- Support architecture reviews, design approvals, and client workshops.
Required Skills & Qualifications
Technical Skills
- Strong experience as a Data / Analytics Solution Architect.
- Hands-on expertise with Microsoft Fabric, including:
- OneLake
- Lakehouse
- Fabric Data Factory
- Spark / Notebooks
- Fabric Data Warehouse
- Power BI semantic models
- Deep understanding of Azure SQL, SQL Server, and ETL modernization.
- Expertise in data architectures (Lakehouse, ELT, Medallion, Dimensional Modeling).
- Strong SQL and Spark (PySpark/SQL) knowledge.
- Experience with enterprise-scale data migrations.
Preferred / Nice-to-Have Skills
- Microsoft Fabric / Azure Solutions Architect certifications.
- Experience with Microsoft Purview and data governance frameworks.
- Exposure to streaming or real-time data architectures.
- Experience in regulated industries (banking, insurance, healthcare).
Soft Skills
- Strong leadership and decision-making capabilities.
- Excellent communication and presentation skills.
- Ability to translate business needs into technical architecture.
- Mentoring and cross-team collaboration skills.
Key Outcomes & Success Measures
- Clearly defined and approved Microsoft Fabric target architecture.
- Smooth migration from Azure SQL + ETL to Fabric.
- Scalable, secure, and cost-efficient data platform.
- Well-enabled Data Fabric Engineering team following standardized patterns.
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