Staff Data Engineer

About the Role:

• Lead the implementation of a resilient, privacy-first data platform architecture that powers personalization, ethical AI, and accelerates data-driven decisions
• Lead the design, infrastructure, and tooling decisions for platform optimization and consolidation efforts, including the deprecation of legacy and redundant tooling such as Appflow, Prefect, Stitch, Redshift, and Looker
• Develop AI-ready architecture by creating semantic layers that define and standardize business logic, enabling data for Agentic AI, and spearheading new support for ML, experimentation, and onboarding to experimentation pipelines like Statsig

Required Skills:

• 6+ years in data engineering, with extensive experience in data platform development, complex data model designing, and data compliance implementation
• Production experience writing performant Python and PySpark code on distributed compute (Spark 3+, Delta Lake)
• Existing experience with Databricks is preferred or experience with Redshift and/or Snowflake

Preferred Skills:

• Experience in developing AI-ready architecture, such as creating semantic layers that standardize business logic for Agentic AI enablement
• Exposure to event streaming (Kafka, EventHub) and CDC tools.
• Experience in deployment and infrastructure management using Terraform is a plus