Finance Data Mart - Domain Data Architect

JPMorgan Chase & Co.•Wilmington, DE

About The Position

As part of our team, you’ll help modernize our data environment and unlock new opportunities for career growth and skill development. As a Domain Data Architect Lead, within the Finance Data Mart team, you will partner with Technology and Product teams to design and deliver data domains using Databricks and enable the Finance function to access and analyze essential data, supporting business needs across banking, wealth management, credit cards, auto lending, and home lending. You will work within a dynamic, cross-functional team, contributing to the transformation of our data architecture and integration processes. Your expertise will help ensure our data solutions remain robust, scalable, and aligned with industry best practices, supporting the analytical and reporting needs of the Finance organization.

Requirements

Minimum seven years of experience in data architecture, data warehousing, and data integration in financial services
Bachelor’s degree in Computer Science, Information Systems, or related discipline
Expertise in designing scalable data mart architectures, including star and snowflake schemas
Strong knowledge of data management, data lineage, and data dictionaries
Proven track record in managing and delivering complex data projects
Strong written and verbal communication skills
Proficiency in SQL, Data Modeling, and ERWIN

Nice To Haves

Strong knowledge of Amazon Web Services; AWS Certifications preferred
Experience with Databricks, Snowflake, or other cloud data warehouses
Experience with market-leading data catalog systems
Experience with ThoughtSpot, Sigma, Tableau, Alteryx, or Essbase a plus

Responsibilities

Implement and optimize the Finance Data Mart using Databricks and ThoughtSpot for analytics and reporting
Design efficient data mart schemas consolidating key data categories from multiple source systems
Collaborate with data engineers, analysts, and technical specialists to gather and analyze business requirements
Develop and optimize ETL processes and data pipelines using Databricks
Partner with Area Product teams and stakeholders to design reporting and analytics solutions and support the Finance function across diverse business areas
Apply design-led thinking to make data discoverable and accessible for analytical needs
Maintain documentation on data mart architecture, data models, ETL processes, and governance policies