Related skills
azure aws gcp databricks kafka📋 Description
- Lead customer engagements on Databricks-based big data projects.
- Provide data engineering, data science, and cloud work with client systems.
- Build reference architectures, how-tos, and production-grade MVPs.
- Guide strategic customers through end-to-end design and deployment.
- Consult on architecture and adoption of Databricks.
- Collaborate with Engineering and Support for rapid issue resolution.
🎯 Requirements
- 10+ years in Big Data (Spark, Kafka) and data lakes in post-sales/consulting.
- 4+ years people management of Data Engineers/Architects.
- 6+ years building Big Data architectures independently.
- Experience across GCP, AWS, and Azure.
- Databricks platform experience is a plus.
- Documentation and white-boarding skills.
- Ability to deploy/integrate Databricks-based solutions.
- Willingness to travel onsite in India.
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