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)