Staff Data Architect, Consumer Risk & AI Analytics

Intuit Inc.; United States; On-site; USD 177,000 - 239,000; Full time

Job summary

Intuit Inc. is seeking a Staff Fraud & Risk Analyst to own the data layer powering analytics and AI workflows across consumer lending and banking products.

You will design and maintain data dictionaries, governance standards, and scalable data architectures across AWS and Google BigQuery. You will collaborate with Fraud & Risk Policy, Credit Risk, Operations, Data Science, and Product to enable AI agents and automated workflows, while ensuring data quality and scalability in a fast-paced

Qualifications

• Bachelor's degree or higher in a quantitative field with relevant data engineering experience.
• Experience building data infrastructure for AI and LLM applications is a strong plus.
• Advanced Python and distributed data processing skills.
• Knowledge of data modeling and data warehousing principles.
• Experience with cloud data platforms is advantageous.

Responsibilities

• Own and maintain risk data dictionary, metadata, data lineage, and governance standards across AWS and Google BigQuery.
• Design, build, and operate scalable data architecture, data marts, and pipelines for risk analytics and AI.
• Collaborate with AI architect, product, and tech teams to integrate data sources into risk and AI infra.
• Establish data quality processes including validation, reconciliation, and monitoring.
• Translate requirements into efficient data models and ETL processes for stakeholders.

Skills

Analytical thinking

Business acumen

Effective communication

Prioritization

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related quantitative field

Master's degree or higher in a related field

Tools

Spark

Spark SQL

Scala

Databricks

Google BigQuery

Snowflake

AWS S3

Job description

Intuit Inc. is seeking a Staff Fraud & Risk Analyst to own the data layer powering analytics and AI workflows across consumer lending and banking products.

You will design and maintain data dictionaries, governance standards, and scalable data architectures across AWS and Google BigQuery. You will collaborate with Fraud & Risk Policy, Credit Risk, Operations, Data Science, and Product to enable AI agents and automated workflows, while ensuring data quality and scalability in a fast-paced