Senior Data Engineer

Sixfold is building AI agents that understand risk for insurance underwriting. The Senior Data Engineer will lead data platform strategy, own the Snowflake data lake, and drive cross-functional data initiatives to ensure trusted and scalable data solutions.

Responsibilities:

• Lead data platform strategy and execution
• Own the Snowflake data lake end to end
• Build governance that actually works
• Drive cross-functional data initiatives

Requirements:

• You have a bachelor's degree in Computer Science, Engineering, or a related field
• 7+ years of data engineering experience, including senior or lead scope with real architectural ownership
• Your Snowflake expertise is deep and current: dynamic tables, openflow, replication, masking and row access policies, performance tuning, Snowflake intelligence
• Your technical toolkit is strong: expertise in SQL and Python, and you use generative AI as a natural part of how you build and think, not theoretically
• You've worked in insurance, ideally at a P&C carrier, MGA, reinsurer, or insurtech
• You've led architecture decisions and brought others along, engineers and non-engineers alike
• You're intellectually curious in the way that actually matters: you ask better questions when something doesn't add up, not just when it's easy
• You've worked within AI/ML governance frameworks and understand what regulatory requirements like GDPR and CCPA actually mean for how data gets stored, accessed, and moved
• You've built or operated data platforms across multiple regions and have wrestled with data residency constraints firsthand
• You've had exposure to customer-facing analytics products and understand what it means when the data you manage is something a customer directly sees and depends on
• You've built a data agent that understands multiple data sources and provides actionable insights to make decisions