So, what’s the role?

Kin is taking on the home insurance market with accelerated growth to help customers in climate affected states get affordable property insurance. As a technology-driven business, data is at the heart of everything we do. We are looking for a Director to lead our growing Data Engineering org as we continue to scale our technology and operations. 

We welcome people from all backgrounds who are driven by a passion of creating great engineering teams and awesome products that users love. This spans all data engineering at Kin from data intake, data management, data modeling, data science infra (model lifecycle management) and data ops.

We value clarity in vision, strong leadership, and ego-free collaboration, and with our distributed ecosystem, your communication skills will be put to fantastic use!

A day in the life could include: 

• Creating a vision for how we ingest and manage data for transactional uses, BI and data science use cases.
• Leading distributed Data Engineering teams and collaborating with domain teams on how best to leverage data to improve outcomes.
• Zooming in and out of the weeds. Being comfortable talking about funnel conversion and then how ingestion, storage, pipelines, mastering, and governance get us the desired results.
• Being a thought leader on best practices in data engineering and having a nuanced understanding of data science and AI applications.
• Hiring, nurturing and mentoring top engineering talent. This is probably the most important part of being an engineering leader at Kin!
• Be a steward of the platform. Own code quality, availability, scalability, resiliency, performance, observability and maintainability as part of ongoing development.

I’ve got the skills… but do I have the necessary ones?

• Has grown up with a data engineering background. Has been a developer, architect and worked hands on in their career.
• Understands what a modern data stack entails. Has an understanding of the different data stacks and machine learning systems. Understands the continuum from ingestion to operational data stores to BI to real time data science ecosystems.
• Overall 12+ years of experience in software development & strong computer science fundamentals with 5+ years managing a team of 25+ data engineers.
• Strong design and architecture exposure in building large scale enterprise SaaS solutions using cloud technologies.
• Deep understanding of cultivating teams, motivating people and creating high performance cultures.
• Strong communication skills and ability to grasp and convey complex product requirements or technical concepts are even more critical in a distributed environment.
• Tech Stuff: Warehouses such as Redshift, Snowflake, and Databricks. Pipeline technologies like DBT, Airflow, DMS, and Fivetran. Streaming tools like Kafka or Flink. ML platforms such as MLflow, Sagemaker, Databricks, H20.ai, etc.

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