[Remote] Director of Engineering - Data Platform
Note: The job is a remote job and is open to candidates in USA. FormativGroup is a company focused on modernizing systems, data, and workflows for businesses. They are hiring a Director of Engineering to lead the engineering organization for a data platform aimed at regulated enterprises, overseeing delivery, quality, and the execution of the technical roadmap.
Responsibilities
- Lead a distributed engineering team across platform/product engineering, connectors, QA, DevOps/infra, AI implementation, data governance, and support
- Own delivery, quality, release discipline, and execution of the technical roadmap
- Install engineering discipline where it's thin: automated testing, QA, CI/CD, release governance, and versioning
- Drive repeatable, perimeter-safe deployments, including containerization, infrastructure-as-code, secure deployment, and SOC 2 readiness
- Partner with the Chief Architect on the connector framework, canonical metadata model, architecture decisions, and product IP
- Build the team: assess current talent, retain the strong, hire the gaps, and align the team plan to the roadmap
- Push practical AI use across coding, review, testing, ops, and engineering productivity
Skills
- Engineering leadership experience; you have run and grown teams, managed engineers, owned delivery, and shipped real product
- Hands-on technical depth in data platforms, metadata, backend systems, or platform engineering; enough to earn the respect of strong engineers
- Experience building or rebuilding an engineering function from the ground up, especially in a startup or early-stage environment
- Experience installing testing, QA, CI/CD, release process, or quality practices where they did not already exist
- Experience leading distributed or offshore engineering teams across time zones
- Security and compliance literacy for regulated buyers, including SOC 2, audit logging, SSO, data security, or secure deployment
- Strong AI fluency, with concrete examples of how you use AI in your own work and across engineering teams
- Experience taking an early-stage product to enterprise-grade maturity
- Background in regulated industries such as financial services, insurance, healthcare, or government
- Familiarity with perimeter/on-prem deployment, lineage, metadata, graph data, or migration impact-analysis problems
Company Overview