Arch is seeking a VP, Data Engineer to implement complex databases and data pipelines that put analytics at the heart of real-time decision-making. You will provide technical leadership, champion best engineering practices, and optimize resource utilization to deliver scalable, high-quality data solutions for the Actuarial Enterprise Data & Solutions Team.

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 that solve 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 the 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 the 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 member of the Actuarial Enterprise Data & Solutions implementation engineering team.

Benefits & Compensation

For JC/NYC: $174,800 - $236,040/year; For Chicago, Hartford, St. Paul: $157,400 - $212,436/year
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

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; or Jersey City, NJ.

Arch's culture is rooted in collaboration, expertise and innovation, aiming to promote progress and inspire clients, employees, investors and communities to achieve their greatest potential.