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# Data Engineering Manager

- **Company:** Jobot
- **Location:** St. Petersburg, FL, United States
- **Experience:** Experienced
- **Salary:** $190,000.0 - $235,000.0
- **Contract:** Permanent contract
- **Skills:** .NET Framework, Automation of Tests, Microsoft Azure, Cloud Computing, Cloud Engineering, Continuous Integration, Information Engineering, Github, Identity and Access Management, Systems Development Life Cycle, Azure Active Directory, Secure Coding, Container Apps, Databricks, Microservices
- **Published:** November 7, 2026
- **Apply:** https://www.juju.com/job/28_25303_781a1ebe914c91cdc68ae5e12dbea9ba

## About the Role

* 7+ years in software/data engineering with at least 3 years directly leading engineering teams as a strategic and hands-on leader; bachelor's in a related field preferred and Azure certifications (e.g., AZ-900) a plus.
 * Deep, practical experience with Azure (App Services/Container Apps, Functions, Storage, Data Factory/Databricks), M365, Entra ID/Azure AD, and Dataverse schema design, including building and optimizing production systems.
 * Expertise in CI/CD (Azure DevOps/GitHub), automated testing, and observability (Azure Monitor/App Insights), combined with strong SOC 2 Type 2, secure coding, and access management knowledge.
 * Exceptional executive-ready communication skills with a track record of coaching engineers, enforcing engineering standards, and ideally experience in Wealth Management/WealthTech domains.

## Description

Engineering Manager - Cloud-Native Azure Platform & Data Engineering Leader (WealthTech). This Jobot job is hosted by Katrina McFillin. Salary $190,000 - $235,000 per year., * Lead, mentor, and retain a high-performing engineering team across software, data, and cloud, driving SDLC quality, predictability, and velocity aligned to the product roadmap.

 * Provide hands-on technical leadership in architecting and implementing cloud-native solutions on Azure (\.NET, App Services/Container Apps, Functions, Data Factory/Databricks) that meet performance, reliability, security, and cost targets.
 * Define and monitor engineering and team health metrics (throughput, cycle time, escaped defects, change fail rate) while partnering with Product to translate business outcomes into measurable engineering objectives.
 * Develop and maintain reference architectures and technical specifications, championing SOLID, event-driven, and microservices patterns and communicating progress, risks, and dependencies to executives and stakeholders.