JPMorgan Chase
Lead Analytics Engineer - Databricks Specialist
Newark, DE · Full-time · Posted Sep 25, 2026
- Experience
- 7–8+ years in data/analytics engineering or BI in a regulated environment.
- Education
- Degree/certification in Computer Science, Information Systems, Data Engineering, or related field.
About the job
Leads analytics engineering for Risk Management and Compliance, building and governing Databricks Lakehouse pipelines, self-service analytics, and executive-facing dashboards.
What you'll do
- Architect and implement Databricks pipelines, ingestion, governance, and curated semantic models.
- Enable governed self-service analytics and onboard business users and citizen developers.
- Deliver dashboards and communicate risk data as actionable narratives for senior stakeholders.
What they ask for
- Degree or certification in Computer Science, Information Systems, Data Engineering, or a related field.
- 7–8+ years in data/analytics engineering or BI in a regulated environment.
- Independent proficiency in ETL and pipeline engineering, advanced SQL, Python/PySpark, Databricks Lakehouse, and Tableau and/or Sigma.
- Experience with data modeling, governed semantic layers, enterprise Databricks strategy, and senior-stakeholder communication.
Nice to have
- Experience with Snowflake, Redshift, Oracle, SQL Server, or PostgreSQL; Alteryx and/or Prophecy; or AWS supporting Databricks.
- Experience supporting Risk, Compliance, Finance, or Audit, or shaping platform strategy or an analytics engineering CoE.
Tools
Databricks, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, Python/PySpark, Tableau, Sigma
AI focus
Use AI tooling such as GitHub Copilot to accelerate development; independently own and validate AI-generated code and documentation.
Model-written summary · the original posting is authoritative