Director of Engineering – Data Platform

Emploi pas sur LinkedIn

🕒 il y a 1 mois

🏈 Alabama, Arizona, +28 états de plus – Distant

🏈 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

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🚰 Ingénieur Data

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FormativGroup

Site WebLinkedInTous les Emplois

51 - 200 employés

💼 Conseil

🏥 Santé

🛡️ Assurance

Consulting • Healthcare • Insurance

FormativGroup est une entreprise de conseil et de mise en œuvre technologique B2B qui aide les clients du marché intermédiaire et les grandes entreprises à moderniser leurs applications, flux de travail et infrastructures de données. Elle est spécialisée dans l'architecture de données, l'intégration de systèmes, le développement d'applications, l'automatisation des flux de travail, la gestion des écosystèmes SaaS/PaaS et la planification d'IA pour permettre la gouvernance, les migrations et l'interopérabilité dans des environnements complexes. FormativGroup sert des secteurs réglementés et d'entreprise tels que l'assurance, la banque, le prêt hypothécaire, la gestion de patrimoine, les soins de santé et le secteur public, en se concentrant sur des conceptions basées sur les résultats et sur une amélioration continue.

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.

🎯 Exigences

• 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.

🏖️ Avantages

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