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Databricks Lead Engineer | Senior Manager | Data & AI | Advisory

2 Locations💼 Full-time🗓 2025-12-19 → 2026-07-31

Core

Lead the development and delivery of analytics projects enhancing healthcare outcomes by building robust data solutions on Databricks.

Role type

Senior Manager / Lead Data Engineer (Healthcare)

Builds

Scalable data lakes/lakehouses, complex batch and streaming pipelines, and automated workflows for healthcare systems.

Domain

Healthcare data & AI

Deliverable

production ML models | infrastructure

Required skills

PySpark, Scala, Delta Lake, Unity Catalog, SQL, Databricks Notebooks/Workflows, Azure/AWS, CI/CD, data modeling, architectural design, team leadership, stakeholder management

Preferred skills

Deep Spark expertise, experience in complex matrix environments, mentoring engineers

Technologies

Databricks, PySpark, Scala, Delta Lake, Unity Catalog, Azure, AWS, Git, ADO

Responsibilities

Develop scalable data solutions and define data models; Build and optimize complex data pipelines; Guide development teams and mentor engineers; Implement data quality checks and security measures; Work with cloud services and manage Databricks clusters; Partner with data scientists and business stakeholders to translate requirements into technical solutions.

Seniority

Senior Manager, hands-on IC with leadership

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