Finance Data Mart - Data Domain Architect

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, 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.

• Implement and optimize the Finance Data Mart using Databricks and Thought Spot 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 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 and stay current on industry best practices and emerging trends in data management
• Ensure alignment of data solutions with organizational objectives and support the Finance function across diverse business areas

• 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

• 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 Thought Spot, Sigma, Tableau, Alteryx, or Essbase a plus