Director of Engineering – Data Platform

This is a fully remote position, open to applicants in Alabama, +29 more states.

📋 Description

• Lead a geographically dispersed engineering team covering platform/product engineering, connectors, quality assurance, DevOps/infrastructure, AI implementation, data governance, and support.

• Take ownership of delivery, quality, release discipline, and the execution of the technical roadmap.

• Implement engineering best practices where they are lacking: including automated testing, quality assurance, continuous integration/continuous deployment, release governance, and version control.

• Facilitate repeatable, perimeter-safe deployments that encompass containerization, infrastructure-as-code, secure deployment, and readiness for SOC 2 compliance.

• Collaborate with the Chief Architect on the connector framework, canonical metadata model, architectural decisions, and product intellectual property.

• Build and strengthen the team: evaluate current talent, retain high performers, fill skill gaps, and align the team’s objectives with the roadmap.

• Promote practical applications of AI across coding, code reviews, testing, operations, and engineering productivity.

⛳️ Requirements

• Proven engineering leadership experience; you have successfully led and expanded teams, managed engineers, overseen delivery, and launched tangible products.

• In-depth technical knowledge in data platforms, metadata, backend systems, or platform engineering; sufficient to gain the respect of experienced engineers.

• Experience in establishing or revamping an engineering function from scratch, particularly in a startup or early-stage setting.

• Background in implementing testing, quality assurance, continuous integration/continuous deployment, release processes, or quality practices where they were previously absent.

• Demonstrated experience in leading distributed or offshore engineering teams across different time zones.

• Knowledge of security and compliance for regulated clients, including SOC 2, audit logging, single sign-on (SSO), data security, or secure deployment practices.

• Strong understanding of AI, with specific examples of its application in your work and across engineering teams.

🏝️ Benefits

• Health insurance

• 401(k) matching

• Flexible work hours

• Paid time off

• Professional development opportunities