Collaborate with client stakeholders to gather requirements, structure solutions, and ensure high‑quality, timely delivery.
Experience working in the Databricks tech stack with strong proficiency in SQL, Python, and PySpark
Design and optimize data models, data marts, and Lakehouse/warehouse layers with strong focus on medallion architecture, query optimization, and performance engineering.
Build, orchestrate, and monitor scalable data pipelines on Databricks, ensuring reliable ingestion, transformation, CDC handling, and incremental load strategies.
Manage end‑to‑end pipeline operations including performance tuning, data quality monitoring, alerting, and issue resolution across production workloads.
Lead a project team of data engineers supporting multiple workstreams and provide technical leadership through code reviews, best‑practice guidance, reusable pattern creation, and mentorship to engineering team members.
Prepare and maintain project documentation to support project execution and delivery.

6-8 years’ experience in data engineering and analytics roles
Bachelor’s or Master's degree in analytics, computer science/engineering, economics, mathematics, or related areas.

Assistant Vice President

Key skills