Principal Software Engineer - Data

Kin

Principal Software Engineer - Data

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
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