The Solution Architect will design and optimize data platforms using Microsoft Azure technologies and Databricks to meet business needs.
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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