Bring your expertise to JPMorgan Chase. As part of Risk Management and Compliance (RM&C), you are at the center of keeping JPMorgan Chase strong and resilient. You help the firm grow its business in a responsible way by anticipating new and emerging risks, and using your expert judgement to solve real-world challenges that impact our company, customers and communities. Our culture in Risk Management and Compliance is all about challenging the status quo and striving to be best in class.
As a Lead Analytics Engineer within the RM&C Data Analytics & Intelligent Automation team, you’ll execute our analytics engineering roadmap to enable cloud-native BI and analytics. Databricks is the primary platform; you’ll design the end-to-end Lakehouse stack—from ingestion to governed semantic models and self-service consumption—leveraging Delta Lake, Unity Catalog, Delta Live Tables (DLT), Databricks SQL, and Databricks Genie. Tools such as Alteryx, Prophecy, Snowflake, Tableau, and Sigma may be used within the solutions you establish.
Success is measured not only by technical delivery, but by adoption and usability. You’ll partner closely with business users, negotiate trade-offs, and translate complex risk data into clear executive narratives.
Job 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 JPMC’s data products into the Lakehouse; use Alteryx/Prophecy as feeder tools where appropriate.
- Design a governed self-service layer in Databricks SQL—curated semantic models, intuitive views, and controlled exposure—to enable independent exploration by business teams.
- Ensure proper data governance in partnership with data product owners and data architects, including cataloging, lineage, ownership, and entitlements.
- Advise on cloud analytics strategies including onboarding new Databricks users and citizen developers—defining enablement patterns, required entitlements, technical requirements, and governance.
- Communicate clearly with senior, non-technical stakeholders; turn data into actionable narratives and decisions.
- Deliver executive-ready dashboards and self-service analytics in Tableau and/or Sigma on Databricks-served data.
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Use AI tooling, such as GitHub Copilot, to accelerate development while maintaining independent technical ownership and validating all AI-generated code/documentation.
Required Qualifications, Capabilities & Skills
- Degree/certification in Computer Science, Information Systems, Data Engineering, or related field, with 7–8+ years in data/analytics engineering or BI in a regulated environment.
- Hands-on, independent proficiency in:
- 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, including pipelines, Delta Lake, and Unity Catalog
- Enterprise BI/visualization with Tableau and/or Sigma
- Strong schema/modeling experience for integrated datasets; practical knowledge of data mesh concepts.
- Strong written and verbal communication for senior audiences.
- Comfortable operating in controlled environments, including change management, access controls, Git, Jules, and ServiceNow.
- Demonstrated customer-centric delivery: requirements negotiation, adoption enablement, and building self-service/citizen-developer platforms.
- Experience designing semantic layers / governed BI models, ideally with Databricks SQL.
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Demonstrated experience implementing a Databricks strategy in an enterprise environment, including operating model, governance, onboarding/enablement, and scalable adoption patterns.
Preferred Qualifications, Capabilities & 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.
We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process.
We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.
JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans
Skills Required
- Degree or certification in Computer Science, Information Systems, Data Engineering, or a related field
- 7-8+ years of experience in data engineering, analytics engineering, or business intelligence in a regulated environment
- Experience designing, developing, testing, and operating ETL and data pipelines
- Advanced SQL writing, optimization, and troubleshooting experience
- Production-grade Python and PySpark experience
- Databricks Lakehouse architecture experience, including pipelines, Delta Lake, and Unity Catalog
- Enterprise BI or data visualization experience with Tableau and/or Sigma
- Strong schema and data modeling experience for integrated datasets
- Practical knowledge of data mesh concepts
- Strong written and verbal communication skills for senior audiences
- Experience working in controlled environments with change management, access controls, Git, Jules, and ServiceNow
- Experience negotiating requirements, enabling adoption, and building self-service or citizen-developer platforms
- Experience designing semantic layers or governed BI models, ideally with Databricks SQL
- Experience implementing Databricks strategy in an enterprise environment, including governance, operating models, onboarding, enablement, and scalable adoption patterns
- Experience with Snowflake, Redshift, Oracle, SQL Server, or PostgreSQL
- Hands-on Alteryx and/or Prophecy experience
- AWS experience supporting Databricks
- Experience supporting Risk, Compliance, Finance, or Audit functions
- Experience shaping platform strategy, defining standards, or leading an analytics engineering center of excellence
JPMorganChase Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about JPMorganChase and has not been reviewed or approved by JPMorganChase.
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Healthcare Strength — Medical, dental, vision, and mental-health coverage are broad, with wellness incentives, on-site or virtual care, and an EAP offering coaching and counseling. Plan materials emphasize accessible options, including multiple medical choices and tools to manage costs.
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Parental & Family Support — Paid parental leave extends up to 16 weeks for all parents, supplemented by paid Critical Caregiver Leave. Family resources include backup childcare via Bright Horizons, lactation support and milk-shipping, family-building assistance, and even a free five-month SNOO rental for newborns.
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Retirement Support — Retirement programs include a 401(k) with an annual company match and automatic pay credits for most employees, with a legacy pension available to earlier hires. An Employee Stock Purchase Plan at a 5% discount further supports long-term savings.
JPMorganChase Insights
What We Do
JPMorgan Chase & Co. (NYSE: JPM) is a leading global financial services firm with assets of $3.7 trillion and operations worldwide. The firm is a leader in investment banking, financial services for consumers and small businesses, commercial banking, financial transaction processing, and asset management. A component of the Dow Jones Industrial Average, JPMorgan Chase & Co. serves millions of consumers in the United States and many of the world’s most prominent corporate, institutional and government clients under its J.P. Morgan and Chase brands. Technology fuels every aspect of our company and is at the heart of everything we do. With over 50,000 technologists globally and an annual tech spend of $12 billion, we are dedicated to improving the design, analytics, development, coding, testing and application programming that goes into creating high quality software and new products. Learn more about technology at our firm, explore resources from our Distinguished Engineers, AI & ML researchers, and other experts; access the latest episode of our TechTrends podcast, and more at www.jpmorgan.com/technology. Information about JPMorgan Chase & Co. is available at www.jpmorganchase.com. ©2023 JPMorgan Chase & Co. All rights reserved. JPMorgan Chase is an Equal Opportunity Employer, including Disability/Veterans.
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