Solution Architect - Microsoft Azure Data & Fabric

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)