Staff Data Architect

Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 140 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* – all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London, Bangalore, and New York City.
*Banking services provided by MVB Bank, Inc., Member FDIC

Intuit Credit Karma is a mission-driven company, focused on championing financial progress for our more than 130 million members globally. While we're best known for pioneering free credit scores, our members turn to us for everything related to their financial goals, including identity monitoring, applying for credit cards, shopping for insurance and loans (car, home and personal) and savings accounts and checking accounts* -- all for free. Credit Karma has grown significantly through the years: we now have more than 1,700 employees across our offices in Oakland, Charlotte, Culver City, San Diego, London and New York City.

About the team and the role: 

Credit Karma seeks a seasoned Staff Data Architect to play a key role in building a comprehensive data model for our 360 Member Financial Profile, a critical component of Intuit's competitive advantage. As a technical leader and mentor, you will drive the development of a robust data architecture that enables seamless data integration, powers personalized member experiences, and informs business decisions. With a strong background in data architecture and engineering, you will design and implement scalable data solutions that support multiple use cases across different products or domains. Your expertise will directly impact the direction of engineering teams and influence company-wide data strategies, fostering a culture of innovation and operational excellence. You will stay ahead of industry trends, integrating best practices into our data management approach, and mentor team members to achieve exceptional results. Your unique blend of technical acumen, leadership, and strategic thinking will make you a driving force in shaping Credit Karma's data-driven future.

What you’ll do:

• Develop and Conceptualize Data Architecture Capabilities: Design, develop, and own data architecture capabilities for large-scale projects, focusing on data ingestion, processing, storage, and retrieval, while evaluating design and operational cost-benefit tradeoffs within systems.
• Build 360 Member Financial Profile Data Model: Lead the development of a comprehensive data model for Credit Karma and Intuit's 360 Member Financial Profile, integrating financial data across multiple sources and systems, ensuring data quality and governance.
• Understand Capability Customers: Collaborate with stakeholders to understand the needs of capability customers, including data scientists, product managers, and business leaders.
• Develop and Drive Data-Driven Roadmaps: Develop roadmaps for data architecture capabilities that align with business objectives and overall technology strategy, influencing engineering, product and cross-functional teams to identify data opportunities and drive impactful business decisions.
• Establish Data Architecture Best Practices: Develop, maintain, and enforce data architecture standards, best practices, and design patterns to ensure consistency and quality across data capabilities.
• Enable Seamless Data Integration and Interoperability: Foster data integration and interoperability across Credit Karma and Intuit's systems, enabling seamless data sharing and powering personalized member experiences by solving complex data integration problems using optimal ETL patterns, frameworks, and query techniques.
• Optimize Data Infrastructure for Efficiency: Optimize data pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts, ensuring efficient and effective data integration and processing.
• Mentor and Develop Team Members: Mentor team members by giving/receiving actionable feedback, promoting growth and development.

Minimum Basic Qualifications:

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience with 10+ years of relevant experience.
• Proven track record of designing and implementing large-scale data warehousing solutions, with expertise in custom ETL design, imp