Vice President, Lead Analytics Engineer

Own an enterprise analytics engineering roadmap within JPMorganChase’s Risk Management and Compliance (RM&C) Data Analytics and Intelligent Automation organization.

Responsibilities

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

Requirements

• Degree/certification in Computer Science, Information Systems, Data Engineering, or a related field
• 7–8+ years in data or analytics engineering or BI in a regulated environment
• Hands-on independent proficiency in ETL/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 BI/visualization with Tableau and/or Sigma
• Strong schema and modeling experience for integrated datasets; practical knowledge of data mesh concepts
• Strong written and verbal communication for senior audiences
• Comfort working in controlled environments, including change management, access controls, Git, Jules, and ServiceNow
• Demonstrated customer-centric delivery, including requirements negotiation, adoption enablement, and building self-service or citizen-developer platforms
• Demonstrated experience implementing a Databricks strategy in an enterprise environment, including operating model, governance, onboarding and enablement, and scalable adoption patterns
• Experience designing semantic layers and governed BI models, ideally with Databricks SQL

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

Preferred qualifications, capabilities, and skills

• 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

Benefits

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

Location: Newark, DE (onsite)