• 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).