Principal Software Engineer - Data - Kin Insurance
Chicago, IL
About the Job
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.
So, what's the role?
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.
A day in the life could include:
- Being responsible for the overall data design including data ingestion, data storage, data pipeline management, master data and data science engineering platform
- Building an inventory of data needed to implement architecture and create a vision for how data will flow through the organization
- Accountability for data management across multiple data systems: data governance, data mastering, meta-data management, data definitions, semantic-layer design, data taxonomies and ontologies
- Architecting and delivering highly-scalable and flexible, cost-effective enterprise data solutions thus facilitating development of architecture patterns and standards
- Responsibility for helping set the technology strategy and roadmaps for the portfolio of data platforms and services across the organization
- Responsibility for data security and compliance
- Designing and documenting data architecture at multiple levels (high-level to detailed) and across multiple views (conceptual, logical, physical, data flow and sequence diagrams)
- Providing active "hands-on" architectural guidance and leadership through the entire lifecycle of development projects
- Translating business requirements into conceptual and detailed technology solutions
- Collaborating closely with partners across the organization including other architects, engineering directors and product managers
- Performing third-party vendor assessments
- Leading proof-of-concept projects
- Keeping fluent in the industry and marketplace evolution--staying current with vendor product offerings and common and emerging data solutions in use across the industry; continuously learning new data technologies and introducing these into the organization
- Cross-training peers and mentoring teammates
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
Oh, and don't worry, we've got you covered!
- Medical, Dental, Vision, Disability and Life Insurance
- Flexible PTO policy
- Remote work
- Generous equity package
- 401K with company match
- Parental leave
- Continuing education and professional development
- The excitement of joining a high-growth Insurtech company and seeing your work make an impact
About Kin
Kin is the only pure-play, direct-to-consumer digital insurer focused on the growing home insurance market. We make policies convenient and affordable through a technology platform that delivers a seamless user experience, customized options for coverage, and fast, high-quality claims service. Kin is a fully licensed carrier that offers coverage through its reciprocal exchanges which are owned by its policyholders. To learn more, visit www.kin.com.
EEOC Statement
Kin is proud to be an Equal Employment Opportunity and Affirmative Action Employer. We don't just accept difference – we honor it, nurture it, and celebrate it. We don't discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
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