Vice President, Engineering

LegitScript•Portland, OR

18h

About The Position

We are seeking a Vice President of Engineering to lead a major technology and organizational transformation. This executive will modernize our data platform, increase engineering velocity, and build a high-performing, globally distributed engineering organization. This role is ideal for an engineering leader who has successfully scaled teams, transitioned organizations from services-heavy delivery to product platforms, and built modern data foundations that support growth, reliability, and compliance. This is a high-impact executive role with ownership over the technology platform, engineering organization, and delivery outcomes that directly support a growing revenue base. The VP of Engineering will play a central role in shaping how the company scales—technically, operationally, and culturally.

Requirements

10+ years in engineering leadership, including 3+ years at the Director or VP level.
Proven success driving major transformations (e.g., Services to SaaS, On-Prem to Cloud).
Strong background in modern data architectures and the Databricks ecosystem (Spark, Lakehouse, ETL/ELT).
Experience building scalable platforms, data products, and APIs.
Ability to translate technical strategy into clear execution plans.
Demonstrated success leading distributed teams across multiple time zones and cultures.
Strong change management skills and executive communication.
Experience managing engineering budgets, including cloud spend, headcount costs, and contractor optimization.

Responsibilities

Drive the migration from siloed, service-level databases to a unified data intelligence platform.
Lead architecture and execution of a Databricks Lakehouse environment to create a governed, enterprise-wide source of truth.
Shift engineering from client-specific work to reusable data products, APIs, and shared platforms.
Establish Infrastructure as Code and automation to ensure reliability, scalability, and cost efficiency.
Design and operate a “Follow the Sun” engineering model with strong ownership across regions.
Reduce dependency on contractors through structured knowledge transfer and transition to full-time ownership.
Deliver a measurable improvement in engineering delivery times
Implement and manage DORA metrics (deployment frequency, lead time, change failure rate, MTTR).
Optimize SDLC and CI/CD pipelines to support data engineering and platform development at scale.
Advance Agile maturity from process-driven execution to outcome-focused delivery.
Ensure engineering practices meet SOC 2, ISO 27001, and ISO 42001 compliance requirements.