Senior Data & Platform Engineer (Microsoft Fabric)

Role: Senior Data & Platform Engineer (Microsoft Fabric)

Location: Rohnert Park, CA, remote

Employment Type: contract

Position Summary

Client seeking an experienced Data & Platform Engineer to support the implementation and optimization of our enterprise analytics platform.

This is a highly technical, hands-on role responsible for designing, building, and supporting Microsoft Fabric solutions. The successful candidate will work closely with internal teams and implementation partners to deliver scalable, maintainable, and production-ready data and analytics solutions.

The ideal candidate has deep Microsoft Fabric expertise, strong data engineering and architecture skills, and a proven track record of delivering enterprise-scale analytics platforms. This role is focused on execution and technical delivery.

Responsibilities

Platform Development

• Design and implement scalable Microsoft Fabric solutions and components that support current and future business requirements.
• Develop technical standards and implementation patterns that promote reliability, maintainability, and scalability.

Data Engineering & Analytics

• Design and implement Medallion Architecture (Bronze, Silver, Gold).
• Develop data ingestion and transformation processes from a variety of source systems.
• Implement incremental loading, change data capture, and data synchronization solutions.
• Design and implement dimensional models and reporting-ready data structures.
• Ensure data quality, consistency, and reliability across the analytics platform.
• Support development of scalable reporting and self-service analytics solutions.
• Optimize query performance, data processing, and semantic model design.
• Establish standards for data modeling, transformation logic, and reporting structures.

Platform Operations

• Support deployment, release management, and environment promotion processes.
• Implement monitoring and operational support standards.
• Troubleshoot and resolve platform, data integration, and performance issues.
• Support production readiness activities and operational handoff.
• Identify and address technical debt, performance bottlenecks, and architectural risks.

Qualifications

Required Qualifications and Skills

• 7+ years of experience in Data Architecture, Data Engineering, Analytics Engineering, or a related field, including 3+ years of hands-on experience implementing Microsoft Fabric solutions.
• Proven experience delivering enterprise-scale data and analytics platforms from design through production deployment.
• Experience working directly with business stakeholders, developers, analysts, and technical teams to deliver analytics solutions.
• Strong experience implementing Medallion Architecture (Bronze, Silver, Gold) and enterprise data warehousing solutions.
• Advanced SQL/T-SQL skills and experience with Python, Spark, and Delta Tables.
• Experience implementing data ingestion, transformation, incremental processing, and change data capture (CDC) solutions.
• Strong understanding of dimensional modeling and reporting-oriented data design.
• Experience troubleshooting and optimizing data pipelines, semantic models, and Fabric workloads.
• Experience supporting production analytics environments and establishing scalable implementation patterns.
• Strong problem-solving and troubleshooting skills.

Preferred Qualifications

• Microsoft Fabric Analytics Engineer certification or equivalent experience.
• Experience migrating data platforms to Microsoft Fabric.
• Experience implementing CI/CD and DevOps practices for analytics solutions.
• Experience with large-scale Power BI implementations and enterprise semantic models.
• Experience working in hospitality, gaming, retail, or similarly data-intensive industries.

Work Location

• Remote within the United States.
• Ability to participate in meetings during Pacific Time business hours.
• Occasional travel to Customer location in Rohnert Park, California may be requested for workshops, planning sessions, or key project milestones.