Jobs → Data & Analytics → Databricks Solution Architect

About the Role We are looking for a highly experienced Databricks Solution Architect to lead technical engagements and provide strategic guidance for enterprise data, analytics, and AI initiatives. Key Responsibilities • Design and implement enterprise-scale Databricks Lakehouse architectures • Lead hands-on development using Apache Spark, PySpark, Spark SQL, Scala, and SQL • Work extensively with Delta Lake, Unity Catalog, Serverless Compute, and Photon • Optimize large-scale data processing, queries, and cluster performance • Advise client leadership on data governance, security, MLOps, and operational excellence • Conduct technical workshops, training, and knowledge-transfer sessions • Drive adoption of Photon, AI/BI, Mosaic AI, and other advanced Databricks capabilities • Integrate Databricks securely with AWS, Azure, and GCP Requirements • 15+ years of overall IT/data engineering experience • 5+ years of strong hands-on Databricks experience • Expert-level Apache Spark / PySpark / Spark SQL / Scala • Strong AWS/Azure/GCP cloud experience • Deep knowledge of Databricks Lakehouse, Delta Lake, Unity Catalog, ETL/ELT, and Data Governance • Strong Python, Scala, SQL, Docker, Kubernetes, and CI/CD experience • Excellent client-facing, communication, presentation, and consulting skills