Description
The Databricks Technical Architect will design, implement, and optimize enterprise-scale data and analytics solutions on the Databricks platform. Responsibilities include defining data architecture, governance, and security; building and optimizing ETL/ELT pipelines with Spark, PySpark, and SQL; leading migrations from legacy platforms to Databricks and cloud environments; and providing technical leadership and solution guidance. The role requires at least 8 years of experience in data engineering or data architecture, along with hands-on Databricks, Spark, PySpark, SQL, cloud, Delta Lake, data governance, CI/CD, DevOps, and stakeholder-management experience.
