Job DescriptionYou strive to be an essential member of a diverse team of visionaries dedicated to making a lasting impact. Don't pass up this opportunity to collaborate with some of the brightest minds in the field and deliver best-in-class solutions to the industry.
As a Senior Lead Data Architect, Data Modelling at JPMorganChase within Enterprise Platforms (Employee Platforms) in Corporate Technology, you shape how data is structured, defined, and trusted across products that serve critical employee experiences. You will lead the domain's data modelling strategy across transactional, analytical, streaming, and AI-driven consumption patterns, ensuring performance, clarity, and safe evolution. You will also help establish semantic foundations so teams and enterprise-authorized AI capabilities can interpret and use data reliably with appropriate validation, security, resiliency, and auditability.
Job responsibilities - Lead the end-to-end data modelling strategy for the domain, aligning logical and physical models to the needs of each product and consumer.
- Design and optimize models across raw/denormalized document structures, OLTP relational (3NF), OLAP dimensional (star/snowflake), and event/message schemas.
- Define and maintain semantic foundations, including a data dictionary, naming and namespace conventions, and attribute-level abstractions to support interoperability.
- Govern schema evolution and model versioning to enable safe change while protecting downstream consumers through clear contracts and lineage expectations.
- Represent data architecture and modelling at governance forums, improving standards and guiding technology evaluation against established frameworks.
- Provide technical direction and mentorship to engineering teams, contractors, and vendors as a domain subject matter expert in data modelling.
- Develop and review secure, high-quality DDL and model-implementing transformation logic, debugging issues and improving production readiness.
- Drive modelling decisions that influence product design, application functionality, analytics outcomes, access-pattern performance, and operational stability.
- Use enterprise-authorized AI capabilities to accelerate modelling analysis and documentation while validating outputs and aligning to data sensitivity, security controls, resiliency, and auditability expectations.
- Champion reuse-first, AI-assisted validation and agentic workflows within the software development lifecycle to strengthen quality checks, documentation, traceability, and model usability for both people and AI systems.
Required qualifications, capabilities and skills - Formal training or certification on data architecture and data modelling concepts and 5+ years applied experience.
- Extensive hands-on experience designing and delivering optimized data models across raw/document, OLTP 3NF, OLAP dimensional, and event/message schema patterns.
- Strong command of core data concepts, including entities, relationships, cardinality, normalization vs. denormalization trade-offs, attribute abstraction, and schema evolution.
- Practical experience delivering system design, application development, testing, and operational stability in production environments.
- Solid understanding of modern lakehouse and data and analytics platforms, including Databricks (Delta Lake, Unity Catalog, medallion architecture) or equivalent platforms.
- Demonstrated experience using enterprise-authorized AI capabilities to support data modelling and architecture workflows, with strong validation habits and awareness of data sensitivity.
- Ability to assess and validate AI-assisted modelling recommendations before adoption, escalating uncertainty and ensuring alignment to security, auditability, and resiliency expectations.
- Advanced knowledge in one or more programming languages and technical disciplines (e.g., cloud, AI/ML, data platforms), with strong architecture and engineering fundamentals.
- Proven ability to independently solve complex data model design and functionality problems with little to no oversight.
Preferred qualifications, capabilities and skills - Deep specialization in data modelling, including the ability to explain and teach model-shape decisions based on consumption patterns.
- Experience defining and sustaining a shared business glossary and semantic layer that stays coherent across domains, including for AI-driven consumption.
- Strong, current experience optimizing analytical/dimensional models on Databricks or comparable cloud-native data platforms, including performance and cost considerations at scale.
- Familiarity with vector and graph modelling and retrieval patterns for AI/ML and agentic consumption, in addition to traditional OLTP and OLAP modelling.
- Practical fluency integrating agentic AI workflows into modelling, documentation, and data quality processes, including effective prompting and rigorous validation.
- Experience establishing or scaling modelling standards, naming conventions, and governance practices, including onboarding and mentoring other modelers and engineers.
- Exposure to schema/contract-driven development (e.g., data contracts, schema registries) and managing schema evolution safely in production.
About UsJPMorganChase, 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 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
About the TeamOur professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we're setting our businesses, clients, customers and employees up for success.
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