This role involves collaborating with client stakeholders to gather requirements, structure solutions, and ensure high-quality, timely delivery. The position requires experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark. Key responsibilities include designing and optimizing data models, data marts, and Lakehouse/warehouse layers with a focus on medallion architecture, query optimization, and performance engineering. The role also entails building, orchestrating, and monitoring scalable data pipelines on Databricks, managing end-to-end pipeline operations, and leading a project team of data engineers. Preparing and maintaining project documentation is also a part of the role.
Stand Out From the Crowd
Upload your resume and get instant feedback on how well it matches this job.
Job Type
Full-time
Career Level
Manager
Education Level
No Education Listed