Lead Microsoft Fabric Solution Architect

Medasource • United State
Remote
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AI Summary

Medasource is seeking a Lead Microsoft Fabric Solution Architect to provide technical leadership and guide architectural decisions for a modern data platform strategy. The ideal candidate will have hands-on experience designing or implementing Microsoft Fabric solutions and senior-level experience as a data platform or solution architect.

Key Highlights
Provide technical leadership and guide architectural decisions
Design and implement Microsoft Fabric solutions
Translate business requirements into a clear, phased project plan
Technical Skills Required
Microsoft Fabric Databricks Azure Snowflake Python JavaScript TypeScript Node.js React Vue.js PostgreSQL MongoDB Kubernetes C# C++ .NET
Benefits & Perks
100% Remote
40 hrs/week
6-Month Contract

Job Description


Lead Microsoft Fabric Solution Architect

6-Month Contract

100% Remote

40 hrs/week

Start Date: ASAP

Job Description

Our client is advancing its modern data platform strategy and is in the early stages of adopting Microsoft Fabric as a core analytics and data architecture platform. They are seeking a Lead Microsoft Fabric Solution Architect to act as a Microsoft Fabric subject matter expert; providing hands-on technical leadership, guiding architectural decisions, and defining a clear, executable roadmap for platform adoption.

This role is architect-first, with an expectation of lightweight but effective project leadership. The architect will translate business and platform requirements into a sequenced plan, define dependencies, and provide the technical direction engineers need to execute successfully. While formal personnel management is not required, this role must bring the organization and assertiveness needed to keep complex platform work moving forward.

A secondary responsibility may include helping establish best practices and lead support for cloud cost tagging/monitoring and attribution across Databricks, Azure, Fabric or other adjacent data platforms.

Responsibilities

  • Act as the technical authority for Microsoft Fabric architecture and implementation
  • Define and refine the Fabric reference architecture, including feature selection, security models, and data design patterns
  • Translate business requirements into a clear, phased project plan and roadmap with defined dependencies and milestones
  • Guide engineering teams on Fabric platform configuration and best practices, data migration and table conversion strategies, security, governance, access controls, etc.
  • Provide architectural oversight and adjustments as requirements evolve
  • Apply project-oriented thinking to prioritize work, sequence initiatives, and enable leadership to track progress
  • Support a secondary initiative focused on cloud cost monitoring including cost tagging and logging strategies and aggregating/reporting costs by product or workload

Required Qualifications

  • Hands-on experience designing or implementing Microsoft Fabric solutions
  • Fabric experience within a healthcare or health system environment
  • Senior-level experience as a data platform or solution architect (Fabric, Databricks, Snowflake, Azure, or similar)
  • Prior healthcare data platform experience (e.g., Databricks or Snowflake supporting healthcare analytics)
  • Project management; Demonstrated ability to develop a project plan and drive execution
  • Strong understanding of modern cloud data architectures, security, and governance
  • Demonstrated ability to translate ambiguous requirements into concrete architectural plans
  • Prior engagement demonstrating architectural leadership combined with light project ownership
  • Experience structuring technical work into phased, dependency-aware delivery plans
  • Ability to operate independently in a fast-moving, evolving environment

Preferred Qualifications

  • Experience translating technical logging/tagging into cost aggregation in platforms like Azure, DB, or Fabric
  • Experience migrating analytics workloads from an existing platform into Fabric
  • Familiarity with cloud cost attribution and monitoring practices
  • Exposure to Epic data platforms (e.g., Cogito Cloud)


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