Vice President, Lead Analytics Engineer

Join JPMorgan Chase in Newark, DE as a Lead Analytics Engineer within Risk Management and Compliance (RM&C) Data Analytics & Intelligent Automation. In this onsite role, you will own delivery against an analytics engineering roadmap on Databricks, shaping an end-to-end Lakehouse approach that emphasizes governance, self-service analytics, and executive-ready reporting.

What you’ll do

• Architect and implement end-to-end pipelines on Databricks using Delta Live Tables (DLT), Delta Lake, and Unity Catalog to support governance, lineage, and access controls.
• Build ingestion and integration pipelines in Python and PySpark, consuming JPMC data products into the Lakehouse; use Alteryx and Prophecy as feeder tools where appropriate.
• Design a governed self-service layer in Databricks SQL, including curated semantic models, intuitive views, and controlled exposure for business-led exploration.
• Partner with data product owners and data architects to ensure governance, including cataloging, lineage, ownership, and entitlements.
• Advise on cloud analytics strategy by onboarding new Databricks users and citizen developers, defining enablement patterns, required entitlements, technical requirements, and governance.
• Communicate effectively with senior, non-technical stakeholders, translating data into actionable narratives and decisions.
• Deliver executive-ready dashboards and self-service analytics using Tableau and/or Sigma on Databricks-served data.
• Use AI tooling such as GitHub Copilot to accelerate development while maintaining independent technical ownership and validating AI-generated code and documentation.

What we’re looking for

• Degree or certification in Computer Science, Information Systems, Data Engineering, or a related field, with 7–8+ years of data and analytics engineering or BI experience in a regulated environment.
• Hands-on, independent proficiency in ETL and pipeline design, development, testing, and operations.
• Hands-on, independent proficiency in Advanced SQL, including writing, optimization, and troubleshooting.
• Hands-on, independent proficiency in Python and PySpark, with production-grade implementation experience.
• Hands-on, independent proficiency in Databricks Lakehouse architecture, including pipelines, Delta Lake, and Unity Catalog.
• Hands-on, independent proficiency in enterprise visualization/BI with Tableau and/or Sigma.
• Strong schema and modeling experience for integrated datasets, with practical knowledge of data mesh concepts.
• Strong written and verbal communication for senior audiences.
• Comfort operating in controlled environments, including change management and access controls with Git, Jules, and ServiceNow.
• Customer-centric delivery experience, including requirement negotiation, adoption enablement, and building self-service or citizen-developer platforms.
• Experience implementing semantic layers and governed BI models, ideally with Databricks SQL.
• Demonstrated experience implementing a Databricks strategy in an enterprise environment, including operating model, governance, onboarding or enablement, and scalable adoption patterns.

Technologies

Databricks, Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, Databricks Genie, Alteryx, Prophecy, Snowflake, Tableau, Sigma, Python, PySpark, GitHub Copilot, Git, Jules, ServiceNow, AWS

Benefits

• Comprehensive health care coverage
• On-site health and wellness centers
• Retirement savings plan
• Backup childcare
• Tuition reimbursement
• Mental health support
• Financial coaching

Preferred qualifications and capabilities

• Experience with a secondary platform: Snowflake, Redshift, Oracle, SQL Server, or PostgreSQL.
• Hands-on Alteryx and/or Prophecy experience.
• AWS experience, especially supporting Databricks.
• Prior experience supporting Risk, Compliance, Finance, or Audit functions.
• Experience shaping platform strategy, defining standards, or leading an analytics engineering CoE.