About the Job
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The role involves leading the modernization of the Databricks platform and promoting the adoption of advanced features. You will be responsible for designing and delivering Lakeflow jobs, pipelines, and scalable Lakehouse solutions. Additionally, you will implement and optimize technologies such as Unity Catalog, DQX, DB Genie, and AI/BI workloads. Establishing engineering best practices, governance, and automation frameworks will be key aspects of your responsibilities.
Along with your individual contributions, you will also mentor teams and guide technical decision-making across the organization.
Responsibilities
- Lead modernization of Databricks platform and adoption of advanced features.
- Design and deliver Lakeflow jobs, pipelines, and scalable Lakehouse solutions.
- Implement and optimize Unity Catalog, DQX, DB Genie, AI/BI workloads.
- Establish engineering best practices, governance, and automation frameworks.
- Mentor teams and guide technical decision-making across the organization.
Requirements
- Around 6 years in data/platform engineering with deep Databricks expertise.
- Strong hands-on experience with Pyspark, Streaming, DBR, Lakeflow, UC, DQX, DB Genie, and Delta Lake.
- Experienced in ADF, Synapse, and exposure to Azure DevOps.
- Proven leadership in large-scale Databricks or Lakehouse transformation projects.
- Strong out-of-the-box thinking, problem-solving skills, and deliverables leadership.
