VP Analytics Engineer - Risk & Compliance Lakehouse Lead

JPMorganChase; Newark (DE); On-site; USD 120,000 - 180,000; Full time

Job summary

JPMorgan Chase & Co. seeks an experienced Lead Analytics Engineer to drive the RM&C analytics engineering roadmap on a Databricks Lakehouse. You will design end-to-end pipelines, govern data and enable self-service analytics for business teams using Tableau/Sigma.

You will work with senior stakeholders, translate risk data into clear narratives, and oversee governance, entitlement models, and production-grade workloads in a regulated environment.

Qualifications

• 7–8+ years in data/analytics engineering or BI in a regulated environment.
• Hands-on ETL/pipeline design, development, testing, and operations.
• Advanced SQL, including writing, optimization, and troubleshooting.
• Python and PySpark with production-grade implementation experience.
• Databricks Lakehouse architecture, Delta Lake, Unity Catalog.
• Enterprise BI/visualization with Tableau and/or Sigma.
• Strong schema/modeling experience and data mesh concepts.
• Strong written and verbal communication for senior audiences.
• Experience in controlled environments: change management, access controls, Git, and ServiceNow.
• Customer-centric delivery: requirements negotiation and self-service platforms.

Responsibilities

• Architect and implement end-to-end pipelines on Databricks using DLT, Delta Lake, and Unity Catalog for governance, lineage, and access controls.
• Build ingestion/integration pipelines in Python/PySpark, consuming data products into the Lakehouse; use Alteryx/Prophecy as feeder tools.
• Design a governed self-service layer in Databricks SQL—curated semantic models and intuitive views.
• Ensure data governance with cataloging, lineage, ownership, and entitlements.
• Advise on cloud analytics strategies including onboarding Databricks users and citizen developers.
• Communicate clearly with senior stakeholders; translate data into executive narratives.
• Deliver executive-ready dashboards in Tableau and/or Sigma on Databricks-served data.
• Use AI tooling to accelerate development while maintaining technical ownership.

Skills

Data analytics engineering

ETL/pipeline design

Advanced SQL

Python/PySpark

Databricks Lakehouse

Tableau/Sigma BI

Data modeling

Data governance

Communication

Risk/regulated env experience

Education

Degree in CS/IS/Data Engineering

Tools

Databricks

Tableau

Sigma

Alteryx

Prophecy

Git

ServiceNow

Sigma

Snowflake/Redshift/Oracle/SQL Server/PostgreSQL

AWS

Job description

JPMorgan Chase & Co. seeks an experienced Lead Analytics Engineer to drive the RM&C analytics engineering roadmap on a Databricks Lakehouse. You will design end-to-end pipelines, govern data and enable self-service analytics for business teams using Tableau/Sigma.

You will work with senior stakeholders, translate risk data into clear narratives, and oversee governance, entitlement models, and production-grade workloads in a regulated environment.