Principal Software Developer - Data

About the role

Redfin is a technology-driven real estate company with the country's most-visited real estate brokerage website. As part of Rocket Companies (NYSE: RKT), Redfin is creating an integrated homeownership platform from search to close to make the dream of homeownership more affordable and accessible for everyone. Redfin's clients can see homes first with on-demand tours, easily apply for a home loan with Rocket Mortgage, and save thousands in fees while working with a top local agent.

We are seeking a Principal Software Engineer to serve as the chief architect and technical north star for our enterprise data organization. In this role, you will design and scale a unified data platform that serves as the central nervous system for the entire company.

You will lead the transition to a modern, multi-tenant Data Lakehouse, abstracting away infrastructure complexity for our data engineers while democratizing high-performance, self-serve access for data scientists, machine learning engineers, and AI agents. You will partner with engineering directors and mentor Staff-level ICs to ensure our architecture scales elegantly securely across domain boundaries.

Required Qualifications

• Experience: 12+ years of software/data engineering experience, with at least 5+ years operating at a Staff, Principal, or Lead Architect level.
• Cloud & Lakehouse Expertise: Deep, hands-on architectural experience with AWS (S3, IAM, EKS) and Snowflake. Proven experience implementing open table formats, specifically Apache Iceberg.
• Data Ingestion & ELT: Deep expertise with modern data movement pipelines (e.g., Fivetran, Airbyte) and high-velocity event-streaming platforms (e.g., Apache Kafka, AWS Kinesis, Snowpipe). Experience migrating legacy ETL platforms to modern, compute-optimized ELT architectures is highly preferred.
• Data Modeling: Expert understanding of modern data modeling techniques, including Star Schema design for highly optimized analytical reads and dimensional modeling for enterprise semantic layers.
• Processing Frameworks: Advanced proficiency in SQL, Python, and distributed compute engines (Spark, Ray, or native Snowflake compute).
• Data Governance & Security: Extensive experience designing multi-tenant data architectures, implementing complex Role-Based Access Control (RBAC), and managing cross-domain security policies in highly regulated environments.
• CI/CD & IaC: Mastery of CI/CD pipelines (e.g., Azure DevOps, GitHub Actions) and infrastructure provisioning tools (Terraform).

The Ideal Candidate Will Also Have

• A strong perspective on the evolving "Modern Data Stack" and the tradeoffs between tight vendor coupling versus open-source flexibility.
• Experience integrating data platforms directly with Machine Learning pipelines and AI workflows.
• A proven track record of influencing engineering culture and driving alignment across multiple disparate engineering squads.

What y ou'll g et

• Our team members fuel our strategy, innovation and growth, so we ensure the health and well-being of not just you, but your family, too!
• We go above and beyond to give you the support you need on an individual level and offer all sorts of ways to help you live your best life.
• We are proud to offer eligible team members perks and health benefits that will help you have peace of mind.
• Simply put: We've got your back.
• Check out our full list of Benefits and Perks.

On-Call Expectations

• This role may include participation in an on-call rotation to support production systems and ensure service reliability.
• On-call responsibilities may include coverage during nights and weekends.
• If applicable, frequency and scheduling will be determined by team needs and communicated accordingly.