Principal Data Engineer


Offer summary

Qualifications:

10+ years of experience in designing and architecting data systems., Proven expertise in large-scale data system architecture, including lakehouse and ML Ops platforms., Strong knowledge of modern cloud data stacks, SaaS solutions, and data governance., Excellent communication skills and ability to collaborate with cross-functional teams..

Key responsibilities:

  • Lead the design and implementation of a distributed data environment using Databricks.
  • Provide technical leadership and architectural guidance to the data engineering team.
  • Collaborate with various teams to develop scalable data pipelines and ensure data quality.
  • Mentor team members and stay current with industry data technologies.

Kin Insurance logo
Kin Insurance Insurance Startup https://www.kin.com
501 - 1000 Employees
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Job description

Kin is redesigning insurance to be smarter, faster, and centered on the customer. We use intelligent pricing, offer seamless bundling, and make every step (from purchasing, servicing to claims) simple and frictionfree, especially in the places traditional insurers often ignore.

We empower people to protect what matters most, starting with their homes and expanding to all they value, in a world where climate risks, rising costs, and outdated systems leave too many behind. Our approach has fostered amazing growth, attracted marquee investors, and earned us accolades, including being named to:

  • Built In Chicagos Best Places to Work, Midsize Companies (20212025).

  • Forbes Americas Best Startup Employers (2021 2024, Ranked #37 in 2024).

  • Inc. 5000 FastestGrowing Private Companies.

  • Forbes’ Fintech 50.

    • Simply put, our people are what make us great – we need forwardthinking, inspired gamechangers like you to join us in our mission.

      So what’s the role?

      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 are the goto expert at Kin regarding our data stack and environment, a mentor to your data team members, and a partner to crossfunctional colleagues and stakeholders.

      What you’ll do

      You will lead the design, development, and implementation of a distributed computing environment based on Databricks and bestinclass data governance. You’ll lead Kin’s transformation into a datafirst environment while collaborating with crossfunctional 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 supercharging our data infrastructure and processes. You will lead those technical initiatives across all facets of our data team. This involves:

      • 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, semanticlayer 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 handson 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 proofofconcept 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

      • Crosstraining peers and mentoring team members to share knowledge and build internal capabilities

        • The skills to succeed
          • 10+ years of experience in designing & architecting data systems, warehousing andor ML Ops platforms

          • Proven experience in the design and architecture of largescale data systems, including lakehouse and machine learning platforms, using modern cloudbased tools

          • Excellent written and verbal communication skills. Your ability to collaborate and deliver clear vision and messaging with crossfunctional 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 costeffective solutions

          • Expertise with all aspects of data management: data governance, data mastering, metadata management, data taxonomies and ontologies

          • Experience working with realtime data streaming

          • Experience with data analytics, BI, data reporting and data visualization

            • You should join us if…
              • You want to work on cuttingedge data solutions in a highimpact, regulated industry

              • You enjoy leading and collaborating with talented teams to solve complex problems and drive business outcomes

              • You want to learn from and mentor team members in a dynamic, growthoriented environment with opportunities to innovate

              • 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 probably shouldn’t apply if…
                  • You are uncomfortable with ambiguity or unclear requirements. We solve a lot of new problems where requirements are not well defined.

                  • You would rather avoid startup environments where processes may not be welldefined. Change is a way of life at Kin. We’re still establishing some of our processes and evolving how we manage data.

                  • You see perfection as the only option. We move fast, and we make mistakes. We learn and grow through experimentation and mistakes. While we hold ourselves to high standards, we don’t demand perfection.

                  • You keep to yourself. We have a collaborative culture where we solve problems together, learn from, and support each other. You’re part of a team here at Kin.

                    • Oh, and don’t worry, we’ve got you covered!

                      We offer a comprehensive benefits program, allowing you to choose the benefits that are best for you and your family including: Medical, Dental, Vision, Life Insurance and Disability Insurance options, Employee Assistance Program, as well as elective voluntary benefits such as accident insurance, hospital indemnity, critical illness, legal assistance and pet insurance. Kinfolk become eligible for benefits on the first day of the month following their start date.

                      In addition to these benefits, we also are excited to offer the following:

Required profile

Experience

Level of experience: Senior (5-10 years)
Industry :
Insurance
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Problem Solving
  • Collaboration
  • Communication
  • Leadership

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