- 12 + years of experience in data Architecture, engineering, data platforms & analytics.
- Comfortable writing code in either Python or Scala.
- Extensive Working knowledge of Databricks is required.
- Experience with advanced Databricks concepts such as Genie Spaces, Agents, and Genie Code.
- Experience handling or leading large-scale projects/customers.
- Working knowledge of two or more common Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Deep experience with distributed computing with Apache Spark and knowledge of Apache Spark runtime internals
- Familiarity with CI/CD for production deployments
- Working knowledge of MLOps
- Capable of design and deployment of highly performant end-to-end data architectures
- Experience with technical project delivery – managing scope and timelines
- Documentation and white-boarding skills
- Experience working with clients and managing conflicts
- Experience in building scalable streaming and batch solutions using cloud-native components
Preferred Skills
- Databricks Certified Data Engineer Qualified Certification.
- Experience working on high demanding projects and handling large clients.
- Prior experience working in the Databricks Partner Program