• Job Title: Lead Data Domain Architect
• Finance Data and Insights
  Position Overview: We are looking for an Engineer and optimize Databricks DDL models that power FORCE analytics, ML, NLP, LLM, and dashboards. Enforce modeling standards, validation/reconciliation controls, and audit ready documentation. Drive effective collaboration and tie delivery to measurable OKRs.

As an Analytics Solution Associate within our analytics team, you will design and maintain Databricks DDL models and promote performance engineering across our data platforms.

Job Responsibilities:

• Design and maintain Databricks DDL models: Define normalized schemas, SCDs, and surrogate keys
• Performance engineering: Implement partitioning/ZORDER/OPTIMIZE, constraints, caching; reduce shuffle/skew.
• Medallion architecture: Engineer bronze/silver/gold transformations with reproducible pipelines.
• Data quality and reconciliation: Evaluate and make recommendations on harnesses (e.g., Great Expectations/Deequ), Atoti checks, and hierarchies reconciliation.
• Documentation excellence: Maintain audit‑ready DRDs/DDLs, standards, and runbooks; monthly update cadence.
• Collaboration and handoffs: Participate in joint planning/reviews; manage efficient handoffs.
• Advanced analytics/NLQ enablement: Ensure models support NLQ and ML use cases.
• Release/change readiness: Partner on release gates, rollback plans, change controls.
• Mentoring and training: Lead workshops on modeling patterns and performance.

Required qualifications, capabilities, and skills

• 6+ years in data modeling for analytics; 3+ years leading modeling initiatives
• Expert SQL and Databricks (Delta Lake) optimization techniques (partitioning, ZORDER, OPTIMIZE, vacuum)
• ERWIN or equivalent; Git‑based workflows; Continuous Integration/Continuous Deployment for data (tests, linting, code reviews)
• Proven validation/reconciliation frameworks and audit‑ready documentation
• Collaboration, communication, and Agile delivery proficiency

Preferred qualifications, capabilities, and skills

• SQL, Py Spark, and Python fluency; Great Expectations/Deequ; Thought Spot/Tableau/Sigma consumption patterns
• Schema evolution; Change Data Capture (CDC)

ABOUT US

JPMorgan Chase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

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.

ABOUT THE TEAM

Our Consumer & Community Banking division serves our Chase customers through a range of financial services, including personal banking, credit cards, mortgages, auto financing, investment advice, small business loans and payment processing. We're proud to lead the U.S. in credit card sales and deposit growth and have the most-used digital solutions - all while ranking first in customer satisfaction.

The CCB Data & Analytics team responsibly leverages data across Chase to build competitive advantages for the businesses while providing value and protection for customers. The team encompasses a variety of disciplines from data governance and strategy to reporting, data science and machine learning. We have a strong partnership with Technology, which provides cutting edge data and analytics infrastructure. The team powers Chase with insights to create the best customer and business outcomes.