πPoland
Senior Big Data Engineer

Databricks
πRemote - India
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Summary
Join Databricks as a Sr. Big Data Engineer and work on short to medium-term customer engagements, tackling big data challenges using the Databricks Platform. You will deliver data engineering, data science, and cloud technology projects, integrating with client systems and providing training. This role involves building reference architectures, how-to guides, and production-grade MVPs. You will guide strategic customers through transformational big data projects and 3rd party migrations. Collaboration with Engineering and Databricks Customer Support is key to providing feedback and resolving issues. The position reports to the Manager, Professional Services.
Requirements
- 10+ years experience with Big Data Technologies such as Apache Sparkβ’, Kafka, Cloud Native and Data Lakes in a customer-facing post-sales, technical architecture or consulting role
- 6+ years of experience working on Big Data Architectures independently
- Strong experience working in the Databricks ecosystem
- Comfortable writing code in either Python or Scala
- Experience working across Cloud Platforms ( GCP / AWS / Azure )
- Documentation and white-boarding skills
- Build skills in technical areas which support the deployment and integration of Databricks-based solutions to complete customer projects
Responsibilities
- Work on a variety of impactful customer technical Big Data projects, which may include building reference architectures, how-to's and production-grade MVPs
- Guide strategic customers as they implement transformational big data projects, 3rd party migrations, including end-to-end design, build and deployment of industry-leading big data and AI applications
- Consult on architecture and design; bootstrap or implement strategic customer projects that lead to a customer's successful understanding, evaluation and adoption of Databricks
- Work with Engineering and Databricks Customer Support to provide product and implementation feedback and to guide rapid resolution for engagement-specific product and support issues
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