Staff Software Engineer - Credit Karma

Intuit Credit Karma seeks a seasoned Staff Software Engineer to play a key role in building a comprehensive data model for our Unified Customer Profile, a critical component of Intuit's competitive advantage. 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. This role carries significant responsibility and visibility—as a Staff Engineer, you’ll be one of the most senior leaders shaping both the technical vision and the culture of our organization. You’ll set the tone, inspire the team, and be a driving force behind our success.

We seek engineers who act decisively and focus relentlessly on delivering practical solutions. If you’re ready to step up, lead with impact, and help define the future, this opportunity is yours.

Responsibilities

• 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 Unified Customer Profile: Lead the development of a comprehensive data model and services for Credit Karma and Intuit's Unified Customer 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.

Qualifications

• Bachelor's degree in Computer Science, Computer Engineering, relevant technical field, or equivalent practical experience with 10 years of relevant experience.

• Deep understanding of data modeling principles, including schema design and dimensional data modeling, with experience in writing efficient SQL queries.

• Experience with data processing, storage, and querying technologies (e.g., Hadoop, Spark, Flink Streaming, Bigquery, Dataflow, Airflow, Bigtable, Spanner and Dynamo) and object-oriented programming languages (e.g., Python, Java, C ).

• Experience with semantic search (e.g Vertex AI search, AWS cloud search) and knowledge graph (e.g neo4j, ..) to integrate our data with generative AI experiences  

• Strong background in data science, with experience identifying data gaps and inconsistencies, and communicating data warehouse plans to internal customers.

• Ability to architect and develop scalable data solutions, staying ahead of industry trends and integrating best practices in data engineering.

• Excellent technical communication skills, with the ability to collaborate with cross-functional teams and drive technical innovation in data engineering.

Intuit provides a competitive compensation package with a strong pay for performance rewards approach. This position may be eligible for a cash bonus, equity rewards and benefits, in accordance with our applicable plans and programs (see more about our compensation and benefits at Intuit®: Careers | Benefits). Pay offered is based on factors such as job-related knowledge, skills, experience, and work location. To drive ongoing fair pay for employees, Intuit conducts regular comparisons across categories of ethnicity and gender. The expected base pay range for this position is: $178,500 - $289,145

Salary : $178,500 - $289,145