We are seeking an Experienced Data Engineer / Data Architect with 10+ years of IT experience and 4+ years of deep expertise on Databrick. This is a high-impact, onsite role where you will lead end-to-end Databricks migration and modernization projects for enterprise customers. If you have successfully driven multiple full lifecycle migrations to Databricks on Azure or AWS, this opportunity is for you. Key Responsibilities • Lead and execute end-to-end Databricks migration projects, from assessment to production cutover. • Design and implement data lake modernization, ETL/ELT re-engineering, and performance optimization. • Architect secure, scalable, high-performance solutions on Databricks with Delta Lake, Unity Catalog, and MLflow. • Align with stakeholders, define migration strategies, oversee execution, testing, and production go-live. • Collaborate with cross-functional teams in agile enterprise environments and manage vendors/partners as needed. • Champion data governance and security best practices within the Databricks ecosystem. • Hands-on delivery using Azure Databricks, AWS Databricks, and hybrid cloud architectures. Required Skills and Experience • 9+ years of overall experience in Data Engineering / Big Data / Cloud Data platforms. • 4+ years of hands-on experience with Databricks (Azure or AWS or GCP ). • Proven track record of leading 3-4+ full-cycle Databricks migration projects. • Expertise in PySpark, SQL, Delta Lake, and Data Lakehouse architecture. • Strong understanding of Databricks architecture: Spark optimization, Delta Lake, Unity Catalog, MLflow. • Deep knowledge of data modeling, distributed systems, and data pipelines.