Senior Data Engineer – Snowflake Platform & AI Governance

Sixfold; United States; Remote; USD 155,000 - 195,000; Full time

Benefits offered by this job

401(k) with employer match

Unlimited PTO

Birthday off

Comprehensive benefits

Job summary

Sixfold is building AI-driven underwriting platforms and needs a Senior Data Engineer to shape data strategy and scalable infrastructure. You will own the Snowflake data lake end-to-end, design robust data models, and ensure data governance across regions.

You will collaborate with AI, product, and platform teams to deliver trusted data powering high-stakes decisions for underwriters and carriers. A background in insurance data and leadership of architecture are essential.

Qualifications

• Bachelor's degree in CS/engineering and 7+ years data engineering experience with architectural ownership.
• Deep Snowflake expertise: dynamic tables, replication, masking, row access policies, tuning.
• Strong SQL and Python skills; use of generative AI in real work.
• Experience in insurance (P&C carrier / MGA / reinsurer / insurtech) data landscape.
• Led architecture decisions and guided teams, engineers and non-engineers.
• Curious mindset; asks the right questions and understands regulatory like GDPR/CCPA.
• Experience building/operating data platforms across multiple regions with data residency.

Responsibilities

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

Skills

Snowflake

SQL

Python

AI governance

Data platform

Architecture leadership

Insurance domain knowledge

Education

Bachelor's degree in Computer Science, Engineering, or related field

Tools

Snowflake platform

Job description

Sixfold is building AI-driven underwriting platforms and needs a Senior Data Engineer to shape data strategy and scalable infrastructure. You will own the Snowflake data lake end-to-end, design robust data models, and ensure data governance across regions.

You will collaborate with AI, product, and platform teams to deliver trusted data powering high-stakes decisions for underwriters and carriers. A background in insurance data and leadership of architecture are essential.