Hybrid Full-time

Unknown Company is hiring a VP, Data Engineer (Hybrid or Remote)

About the Role

Arch is seeking a VP, Data Engineer to implement complex databases and data pipelines, putting analytics at the heart of real-time decision-making. In this role, you will provide technical leadership, champion best practices, and optimize resources to deliver scalable data solutions for the Actuarial Enterprise Data & Solutions Team. You'll join a company culture rooted in collaboration, expertise, and innovation.

What You'll Do

  • Work with strategic partners to solve business problems by directing the development of best-in-class data solutions.
  • Lead and mentor mid-level and junior team members to develop data solutions for complex business challenges.
  • Direct operations and resources to deliver data solutions.
  • Manage data engineering throughout the project lifecycle.
  • Build strong partnerships with peers across the organization to support data-related goals.
  • Proactively design intuitive data structures by anticipating analytic needs.
  • Explore modern technologies and data sources with curiosity and creativity.
  • Leverage technology to automate data ingestion and link external and internal data.
  • Provide appropriate documentation of sources and technical solutions.
  • Prioritize competing priorities across portfolios and resources.
  • Contribute to and promote the adoption of evolving best practices.
  • Continuously advance team capabilities and workflows.

What We're Looking For

  • 10+ years of data engineering experience.
  • 5+ years managing a team.
  • College degree in Computer Science, Engineering, Statistics, Mathematics, Actuarial Science, Data Analytics, or equivalent.

Nice to Have

  • Demonstrated experience building data structures to support analytics/research/actuarial functions in an insurance company setting.
  • Experience with cloud technologies like Snowflake and Databricks.
  • Familiarity with the MLOps framework.
  • Ability to operate independently – managing tasks and engaging people across the team.
  • Exceptional collaboration and relationship building skills.
  • Comfortable handling ambiguous concepts and breaking down complex problems into manageable pieces.
  • Strong data manipulation skills for analytics.
  • Resilient problem solving and critical thinking skills.
  • Thorough understanding of data warehousing concepts and design.
  • Exceptional verbal and written communication skills, with ability to tailor messaging for technical and non-technical audiences, including senior executives.
  • Flexibility - able to meet changing requirements and priorities.

Technical Stack

  • Snowflake
  • Databricks

Team & Environment

You will be a key member of the Actuarial Enterprise Data & Solutions implementation engineering team.

Benefits & Compensation

  • Multiple medical plans plus dental, vision and prescription drug coverage.
  • Competitive 401k with generous matching.
  • PTO beginning at 20 days per year.
  • Up to 12 paid company holidays per year plus 2 paid days of Volunteer Time Offer.
  • Basic Life and AD&D Insurance as well as Short and Long-Term Disability.
  • Paid Parental Leave of up to 10 weeks.
  • Student Loan Assistance and Tuition Reimbursement.
  • Backup Child and Elder Care.
  • Compensation: For JC/NYC: $174,800 - $236,040/year; For Chicago, Hartford, St. Paul: $157,400 - $212,436/year

Work Mode

This is a hybrid or remote position open to candidates in New York, NY; Raleigh, NC; Hartford, CT; Chicago, IL; St. Paul, MN; and Jersey City, NJ.

Arch is an equal opportunity employer.

Required Skills
SnowflakeDatabricksData EngineeringLeadershipCloud PlatformsData ArchitectureData ModelingETL/ELTData GovernancePythonSQLTeam ManagementStrategy
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Posted 5 months ago