Founding Data Engineer

Numi is a company focused on revolutionizing insurance underwriting through AI technology. They are seeking a Senior Data Engineer to ensure the integrity and scalability of the data that powers their AI-driven decision-making systems.

Responsibilities:

• Lead data platform strategy by partnering with the CDAO to shape overall data strategy and translate it into engineering roadmaps with clear owners, timelines, and outcomes
• Make consequential architectural decisions that compound over time, rather than inheriting a finished system
• Own the Snowflake data lake end to end by developing, maintaining, and evolving the platform and its associated services from ingestion to serving
• Architect data models and patterns that support analytics, AI/ML pipelines, and customer-facing products
• Build governance that actually works by designing and operating pipelines covering data quality, lineage, access control, and regulatory requirements
• Drive cross-functional data initiatives by collaborating with platform engineering, AI, and product teams to move shared priorities forward
• Act as the connective tissue between data infrastructure and the rest of the organization

Requirements:

• You have a bachelor's degree in Computer Science, Engineering, or a related field
• You have 7+ years of data engineering experience, including senior or lead scope with real architectural ownership
• Your Snowflake expertise is deep and current, including dynamic tables, openflow, replication, masking and row access policies, performance tuning, and Snowflake intelligence
• Your technical toolkit is strong, featuring expertise in SQL and Python
• 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 understand the data landscape and terminology, including submissions, policy, exposure, and claims
• You've led architecture decisions and brought others along, engineers and non-engineers alike
• 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