Data Engineering Manager
Jobot
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Benefits offered by this job
Job summary
Qualifications
- 7+ years in software/data engineering with 3 years leading teams.
- Deep experience with Azure, App Services, Data Factory, and Databricks.
- Expertise in CI/CD, automated testing, and security standards.
Responsibilities
- Lead and mentor engineering team to drive SDLC quality.
- Provide technical leadership on architecting cloud-native solutions.
- Define and monitor engineering health metrics.
Skills
Education
Tools
Job 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.
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- Competitive Compensation: Market-competitive base salary (DOE) plus performance-based incentives in a growing WealthTech platform.
- 401(k) with Generous Match: Retirement plan with 401(k) and employer matching.
- Comprehensive Benefits: Health, dental, vision, disability, FSA/HSA, and life insurance coverage.
- Unlimited PTO
- Impactful Engineering Leadership: Lead a multi-disciplinary team across software, data, and cloud engineering in a high-growth independent advisor ecosystem.
- Modern Tech Stack: Work hands-on with Azure, .NET, M365, Databricks, DevOps, and modern architectures (event-driven, microservices).
- Executive Visibility: Serve as a strategic, hands-on partner to senior product and business leadership with direct influence on the platform roadmap.
- 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.
- 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.
Interested in hearing more? Easy Apply now by clicking the "Easy Apply" button.
Jobot is an Equal Opportunity Employer. We provide an inclusive work environment that celebrates diversity and all qualified candidates receive consideration for employment without regard to race, color, sex, sexual orientation, gender identity, religion, national origin, age (40 and over), disability, military status, genetic information or any other basis protected by applicable federal, state or local laws. Jobot also prohibits harassment of applicants or employees based on any of these protected categories. It is Jobot’s policy to comply with all applicable federal, state and local laws respecting consideration of unemployment status in making hiring decisions.
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