📋 Description

• Design, build, and operate scalable data infrastructure for high-volume ingestion, transformation
• Architect and implement a partner data sharing platform with external partners.
• Develop core components of the identity graph to unify customer, account, and behavioral signals.
• Improve data quality, lineage, observability, reliability, and governance across pipelines.
• Collaborate with Data, Risk, Product, Engineering, Security, and Compliance teams to define secure
• Build tooling and abstractions enabling engineers and analysts to safely create, discover, and

🎯 Requirements

• 5+ years of hands-on engineering experience building data platforms, distributed systems, or
• Strong experience designing and operating production data pipelines with modern frameworks and
• Deep understanding of data modeling, quality, lineage, observability, and governance.
• Experience with cloud-based data infrastructure (object storage, warehouses, lakehouse, streaming
• Proficiency in Python, Java, Scala, Go (one or more).
• Experience building platforms/services for multiple internal customers with clear APIs and

🎁 Benefits

• Competitive compensation and equity packages
• Leading configured work computers of your choice
• Flexible paid time off
• Fully covered, high-quality healthcare, including dependent coverage
• Additional health coverage includes One Medical and FSA option
• 20 weeks parental leave for primary caregiver; 8 weeks for all new parents