Solution Architect – Microsoft Azure Data & Fabric

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)