Principal Software Engineer, Tech Lead - Platform

• 7+ years of experience in data engineering or data platform roles, with at least 2 years in a technical lead or architecture capacity.
• Deep, hands-on expertise with the leading industry platforms, frameworks, and tools: Databricks, AWS EMR or similar, Delta Lake, Unity Catalog, Spark (PySpark), and SQL; with a solid understanding of compute/cluster management on AWS.
• Proven experience designing and delivering Lakehouse architectures and large-scale ELT/ETL pipelines in production environments.
• Proficiency in Infrastructure as Code tools, such as Terraform.
• Demonstrated experience supporting diverse stakeholder groups including analysts, engineers (including ML engineers), and non-technical business users.
• Strong understanding of data governance, data modeling, and cloud security best practices.
• Excellent communication and collaboration skills, with the ability to translate technical concepts for non-technical audiences.
• Experience designing or operating a semantic layer, feature store, or data ontology / knowledge graph in a production environment.
• Familiarity with managing data for ML systems and AI/agentic applications, such as training pipelines or inference for LLM-powered and agentic tools.

Technical Environment

We primarily use macOS and Google Workspace (Docs, Sheets, Slides). While our preferred platform is macOS, we support both macOS and Windows. Familiarity with or willingness to work within this environment is required.

Core Values

Our shared values are the driving force behind everything we do. Across all roles, we are looking for teammates who embody these values:

Customer and partner first

Act with urgency and focus