Jobs → Data & Analytics → Databricks Solution Architect

About the Role We are looking for a highly experienced Solution Architect – Databricks to work with enterprise customers and design scalable data engineering and analytics solutions on the Databricks platform. Key Responsibilities • Design and implement scalable Databricks Lakehouse solutions • Work directly with customers to understand technical and business requirements • Define end-to-end data engineering and platform architecture • Build and optimize data pipelines using Databricks, Spark, PySpark, SQL, and Delta Lake • Design batch and streaming data-processing solutions • Provide technical guidance on Databricks architecture, development standards, and best practices • Troubleshoot complex Spark and Databricks performance issues • Optimize workloads for performance, scalability, reliability, and cost • Support enterprise Databricks platform implementation and modernization initiatives • Work with Databricks capabilities such as Delta Lake, Unity Catalog, Workflows, Auto Loader, Databricks SQL, Lakeflow/DLT, and Serverless • Design and support CI/CD processes for Databricks deployments • Work with DevOps and Infrastructure-as-Code tools such as Git, Terraform, Azure DevOps, GitHub, GitLab, or Jenkins • Provide guidance on Databricks security, governance, access control, and Unity Catalog • Support customer teams with architecture reviews, code reviews, troubleshooting, and technical mentoring • Work as a trusted technical advisor to customer architects, engineering teams, and stakeholders Requirements • 10+ years of overall consulting / technology experience • 7+ years of experience in Data Engineering, Data Platforms, Big Data, or Analytics • Strong hands-on Databricks experience • Minimum 6–8 end-to-end Databricks project implementations