Principal Data Engineer, Kin Insurance
$205-249.5k
Offers Equity & Bonus. Eligible to earn additional compensation annually through participation in our Kin Leadership Incentive Plan.
More information about location
Personalized home insurance platform
Job no longer available
Personalized home insurance platform
501-1000 employees
Job no longer available
$205-249.5k
Offers Equity & Bonus. Eligible to earn additional compensation annually through participation in our Kin Leadership Incentive Plan.
More information about location
501-1000 employees
Company mission
To reimagine home insurance for every new normal.
Role
Who you are
- You are the go-to expert at Kin regarding our data stack and environment, a mentor to your data team members, and a partner to cross-functional colleagues and stakeholders
- 10+ years of experience in designing & architecting data systems, warehousing and/or ML Ops platforms
- Proven experience in the design and architecture of large-scale data systems, including lakehouse and machine learning platforms, using modern cloud-based tools
- Excellent written and verbal communication skills. Your ability to collaborate and deliver clear vision and messaging with cross-functional and executive teams is just as important as your technical abilities
- Proven ability to develop and implement data architecture roadmaps and comprehensive implementation plans that align with business strategies
- Expertise in data architecture and design, for both structured and unstructured data, as well as data modeling across transactional, BI and DS usage models
- Fluency with modern cloud data stacks, SaaS solutions, and evolutionary architecture, enabling flexible, scalable, and cost-effective solutions
- Expertise with all aspects of data management: data governance, data mastering, metadata management, data taxonomies and ontologies
- Experience working with real-time data streaming
- Experience with data analytics, BI, data reporting and data visualization
- You enjoy leading and collaborating with talented teams to solve complex problems and drive business outcomes
- You value making a real world impact on people’s lives through the use of data and technology
- You’re outcome oriented, as well collaborative. Taking ownership and prioritizing key outcomes is important, but so is taking an emotionally intelligent approach to working with others
- You want to work on cutting-edge data solutions in a high-impact, regulated industry
- You want to learn from and mentor team members in a dynamic, growth-oriented environment with opportunities to innovate
What the job involves
- Data is central to our business at Kin. As a Principal Data Engineer, you will be the senior technical lead for the data engineering department
- You’ll partner with our Director of Data Engineering to provide technical leadership and architectural direction to our Data organization
- You’ll lead our transition to distributed computing as we move to Databricks
- You will lead the design, development, and implementation of a distributed computing environment based on Databricks and best-in-class data governance
- Ou’ll lead Kin’s transformation into a data-first environment while collaborating with cross-functional team members from Product, AppEng, analytics, and business units to solve complex challenges
- These range from architecting scalable and efficient data pipelines to optimizing data storage and retrieval systems to ensuring data quality and integrity throughout the data lifecycle
- We have utilized modern technology since beginning our business, and now we’re super-charging our data infrastructure and processes.
- You will lead those technical initiatives across all facets of our data team
- Leading the overall data architecture design, including ingestion, computing, storage, governance, and machine learning engineering capabilities
- Implementing the architecture and creating a vision for how data will flow through the organization using a federated approach
- Managing data governance across multiple systems: data mastering, metadata management, data definitions, semantic-layer design, data taxonomies, and ontologies
- Design and implement solutions using Databricks for advanced analytics, data processing, and machine learning workloads
- Helping define the technology strategy and roadmaps for the portfolio of data platforms and services across the organization
- Ensuring data security and compliance, working within industry regulations
- Designing and documenting data architecture at multiple levels across conceptual, logical, and physical views
- Providing hands-on architectural guidance and leadership throughout the entire lifecycle of development projects
- Translating business requirements into conceptual and detailed technology solutions that meet organizational goals
- Collaborating with other architects, engineering directors, and product managers to align data solutions with business strategy
- Leading proof-of-concept projects to test and validate new tools or architectural approaches
- Staying current with industry trends, vendor product offerings, and evolving data technologies to ensure the organization leverages the best available tools
- Cross-training peers and mentoring team members to share knowledge and build internal capabilities
Application process
- Deadline to Apply: July 31, 2025 at 5:00 AM UTC
Our take
The setup process for home insurance can be difficult and time-consuming, particularly for complex and risky properties. Legacy insurance providers rely on users and brokers to insert uniform data, an approach that is not very accurate considering the idiosyncrasies of each individual property.
Kin Insurance works directly with consumers to provide bespoke and affordable home insurance. The company's software imports thousands of variables based on third-party data in order to provide a more personalized approach to home insurance. Data is also collected from aerial and satellite imagery, government records, and building permits to ensure a house is covered from localized threats such as wildfire, hurricanes and other natural disasters.
Recognizing the antiquated and one-size-fits-all nature of the current home insurance landscape, Kin Insurance has taken an innovative approach by focusing on data collection. Through these means, the company claims that it can offer personalized insurance that can be negotiated directly through its communication channels, ensuring that consumers can access the exact insurance they need without having to pay more than is required. Strong funding, raised across several rounds, will allow Kin to expand its network and business reach.
Kirsty
Company Specialist at Welcome to the Jungle
Insights
12% employee growth in 12 months
Company
Funding (last 2 of 11 rounds)
Feb 2024
$15m
SERIES D
Sep 2023
$33m
SERIES D
Total funding: $326m
Company benefits
- Medical
- Dental
- Vision
- Life insurance
- Disability insurance
- Commuter benefit plan
- 401k
- Flex spending accounts
- Support for continuing education and professional development
- Training, development, and networking opportunities via Sales Assembly
- Flexible PTO
- Onsite gym membership
- Company-provided lunch each month
- Daily snacks
- Sodas, unlimited flavored water, & coffee
Company HQ
River North, Chicago, IL
Leadership
Sean Harper
(CEO & Co-Founder)Sean worked as a BCG Associate for 5 years before founding FeeFighters.com and working for 2 years at Groupon. After a year as CPO of 2Checkout, they co-founded Kin Insurance, serving since as CEO.
Lucas Ward
(Member of the Board of Directors & Co-Founder)Having studied at Southeast Missouri State University, Lucas spent half a decade at Accenture, before a combined 3 years at ThoughtWorks and Fundspire. They left their CTO position at Rippleshot in 2015 to co-found Kin Insurance in January 2016.
Vivek Vaid
(CTO)Previously CTO at BRANDED, FourKites, Chief Data Officer at Uptake and Head of Technology at Morningstar.
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