Director of Engineering – Data Platform

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🏈 Alabama, Arizona, +28 more states – Remote

🏈 Alabama – Remote 🌵 Arizona – Remote 🏄 California – Remote ⛰️ Colorado – Remote 🦌 Connecticut – Remote 🏛️ District of Columbia – Remote 🐊 Florida – Remote 🥔 Idaho – Remote 🌽 Illinois – Remote 🌾 Iowa – Remote 🌪️ Kansas – Remote 🎰 Nevada – Remote 🗻 New Hampshire – Remote 🏖️ New Jersey – Remote 🗽 New York – Remote 🌲 North Carolina – Remote 🏈 Ohio – Remote 🌪️ Oklahoma – Remote 🌲 Oregon – Remote 🦀 Maryland – Remote 🍂 Massachusetts – Remote 🚗 Michigan – Remote ❄️ Minnesota – Remote 🏰 Missouri – Remote 🔔 Pennsylvania – Remote 🎸 Tennessee – Remote 🤠 Texas – Remote ⚔️ Virginia – Remote ☕ Washington – Remote 🧀 Wisconsin – Remote

⏰ Full Time

🔴 Lead

🚰 Data Engineer

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FormativGroup

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤝 B2B

🏢 Enterprise

☁️ SaaS

B2B • Enterprise • SaaS

FormativGroup is a B2B technology consulting and implementation firm that helps mid-market and enterprise clients modernize applications, workflows, and data infrastructure. They specialize in data architecture, system integration, application development, workflow automation, SaaS/PaaS ecosystem management, and AI roadmapping to enable governance, migrations, and interoperability across complex environments. FormativGroup serves regulated and enterprise sectors such as insurance, banking, mortgage & lending, wealth management, healthcare, and the public sector, focusing on outcome-based designs and continuous improvement.

📋 Description

• 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.

🎯 Requirements

• 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.

🏖️ Benefits

• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities