Solution Architect – Microsoft Azure Data & Fabric

Numentica LLC • Seattle, WA

2d

About The Position

We are seeking a highly skilled Solution Architect specializing in Microsoft Azure Data & Microsoft Fabric, with strong working knowledge of Databricks, to design, build, and optimize modern data platforms. This role requires a blend of architecture, engineering, and analytics expertise to deliver scalable, secure, and high-performance data solutions. The ideal candidate brings deep experience across Microsoft Fabric, Azure Data Factory (ADF), Azure Synapse Analytics, Power BI, and Databricks, with a proven track record of enabling enterprise data modernization and driving actionable insights.

Requirements

• 5+ years of experience in data engineering and data platform development
• 1+ year of hands-on experience with Microsoft Fabric
• 3+ years of experience with Azure Data Factory, Azure Synapse Analytics, and Power BI
• Strong expertise in building data pipelines using ADF, Fabric, and/or Databricks
• Hands-on experience with Databricks (Spark, Delta Lake, notebooks, job orchestration)
• Deep understanding of Lakehouse architecture (Fabric OneLake and/or Databricks Lakehouse)
• Proficiency in SQL, Python, and Spark for large-scale data processing
• Strong experience with data modeling, ETL/ELT, and enterprise data architecture
• Experience with Azure Data Lake Storage, Blob Storage, and Azure DevOps
• Strong analytical and problem-solving skills
• Excellent communication skills to engage both technical and business stakeholders

Nice To Haves

• Microsoft certifications (Azure Data Engineer, Fabric Analytics Engineer, Power BI Data Analyst)
• Experience with Unity Catalog, Delta Lake optimization, and data governance frameworks
• Exposure to Advanced analytics/AI workloads
• Experience designing hybrid architectures (Fabric + Databricks coexistence)

Responsibilities

• Design and implement end-to-end data architectures using Microsoft Fabric and Azure ecosystem, with integration to Databricks where applicable
• Build and optimize scalable data pipelines using ADF, Fabric, and Databricks (Spark-based processing)
• Define and implement Lakehouse architectures across Fabric and/or Databricks environments
• Collaborate with stakeholders to translate business requirements into scalable data solutions
• Ensure data governance, security, and performance optimization across platforms
• Drive best practices in data modeling, data engineering, and analytics enablement
• Evaluate and recommend when to use Fabric-native vs Databricks-native capabilities

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed