Vice President, Lead Analytics Engineer

DataJobs; Newark (DE); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Comprehensive health care coverage

On-site health and wellness centers

Retirement savings plan

Backup childcare

Tuition reimbursement

Mental health support

Financial coaching

Job summary

JPMorgan Chase in Newark, DE is seeking an enterprise analytics engineering leader to own the roadmap within RM&C Data Analytics and Intelligent Automation. You will architect end-to-end pipelines on Databricks and govern data with Delta Lake and Unity Catalog, delivering governance, lineage, and access controls.

You will partner with data product owners and architects to enable self-service analytics, build executive dashboards with Tableau and Sigma, and drive adoption of a Databricks strategy

Qualifications

• Degree 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 Sigma.
• Strong schema and modeling experience for integrated datasets; practical knowledge of data mesh concepts.

Responsibilities

• Architect and implement end-to-end pipelines on Databricks using Delta Live Tables, 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, 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, entitlements, 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 ownership and validating AI-generated code and documentation.

Skills

Advanced SQL

Python

PySpark

Databricks Lakehouse

Tableau

Sigma

Data governance

Communication

ETL design

Education

Degree in CS/IS/Data Eng

Tools

Databricks

Delta Lake

Unity Catalog

Delta Live Tables

Alteryx

Prophecy

Snowflake

Tableau

Sigma

Git

GitHub Copilot

Jules

ServiceNow

AWS

Job description

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)