Solution Architect - Microsoft Azure Data & Fabric Job at Numentica LLC, Seattle, WA

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  • Numentica LLC
  • Seattle, WA

Job Description

Job Description

Job Description

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, andDatabricks, with a proven track record of enabling enterprise data modernization and driving actionable insights.

Key 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

Required Skills & Experience

  • 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

Preferred Qualifications

  • 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)

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