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.