Principal Software Engineer - Data

at  Kin Insurance

Kin is on a mission to change home insurance from what it is to what it should be. Whether we’re leveraging data to create customizable coverage or providing claims service that goes above and beyond expectations, our members are at the heart of everything we do. In the face of ever-growing climate risk, they deserve an insurance company that cares about them. We aim to stick with our members through thick and thin.

Use efficient technology that lets homeowners buy directly from us to keep costs down: This is the essence of Kin. Our approach has fostered amazing growth, attracted marquee investors, and earned us accolades, including being named to:

• Built In Chicago’s Best Places to Work, Midsize Companies (2021-2024).
• Forbes’ America’s Best Startup Employers (2021- 2023).
• Inc. 5000 Fastest-Growing Private Companies.
• Forbes’ Fintech 50.

Simply put, our people are what make us great – we need forward-thinking, inspired game-changers like you to join us in our mission.

I’VE GOT THE SKILLS… BUT DO I HAVE THE NECESSARY ONES?

• 15+ years of experience in designing & architecting data systems, warehousing and/or ML Ops platforms
• You can talk the talk and walk the walk! Can communicate effectively with executives and team
• Fluency with modern cloud data stacks, SaaS solutions, and evolutionary architecture
• Expertise in data architecture and design, for both structured and unstructured data
• Expertise in data modeling across transactional, BI and DS usage models
• Proven ability to analyze, design, and develop data architecture roadmaps and implementation plans
• Deep understanding of data lifecycle with a strong focus on data security
• Expertise with all aspects of data management: data governance, data mastering, metadata management, data taxonomies and ontologies
• Expertise in architecting and delivering highly-scalable and flexible, cost effective, cloud-based enterprise data solutions
• 10+ years hands-on data design in large scale and complex data solutions development projects
• In Depth experience in data architecture and design for large, complex enterprise data environments, for both structured and unstructured data
• Experience architecting and delivering highly scalable and flexible, cost effective enterprise data solutions
• Experience with data analytics, BI, data reporting and data visualization
• Experience with AI/ML and predictive analytics
• Experience with the insurance domain is a plus

As a key member of our data engineering department, you will lead the design, development, and implementation of data-centric solutions to drive actionable insights and enhance decision-making processes. Leveraging your expertise in data engineering, infrastructure and governance frameworks, you will collaborate with cross-functional teams to architect scalable and efficient data pipelines, optimize data storage and retrieval systems, and ensure data quality and integrity throughout the data lifecycle.