Architect and manage Databricks clusters, workspaces, and integrations with cloud services (Azure/AWS/GCP). Implement CI/CD pipelines for Databricks notebooks and jobs. Optimize cluster configurations for cost and performance. Ensure compliance with security and governance standards. Collaborate with data engineers and scientists to support data pipelines and ML workflows. Conduct ETL and data quality analysis using various technologies (i.e., Python, Databricks). Maintain good working relationships with accounts/clients to enhance customer satisfaction Ensure data governance and quality assurance standards are met. Organize and lead meetings, including scheduling meetings; drafting and delivering agendas and meeting minutes; providing and archiving required documentation; and documenting, tracking, and following up on action items. Summarize and present information and reports to the team and make recommendations (both oral and written).
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Job Type
Full-time
Career Level
Mid Level
Number of Employees
5,001-10,000 employees