Data Engineering Manager leading data product development for the Partnership for Public Service. Overseeing internal data lakehouse migration and all associated data engineering efforts.
About the role
- Senior Engineering Manager enhancing engineering capabilities within fintech, focusing on transparent loan market solutions. Driving team development, strategic direction, and collaboration across multiple functions.
Responsibilities
- Lead, mentor, and develop engineering managers, tech leads, and individual contributors across multiple teams.
- Build a culture of ownership, accountability, collaboration, and continuous improvement.
- Drive career growth frameworks, performance management, and succession planning.
- Foster an inclusive, high-trust environment that supports well-being and sustained productivity.
- Provide strategic technical direction in partnership with architecture and product leadership.
- Guide teams in designing scalable, secure, and high-quality systems aligned with long-term business goals.
- Champion engineering best practices, including code quality, observability, automation, and DevOps maturity.
- Lead efforts to modernize technology, simplify architecture, and reduce technical debt.
- Establish and monitor KPIs for engineering performance, quality, and reliability.
- Lead continuous improvement initiatives across the engineering organization.
- Act as a senior partner to Product, Design, Data, Security, and Infrastructure teams.
- Communicate technical decisions, trade-offs, and risks clearly to executive leadership.
Requirements
- 8+ years of engineering experience with 3–5 years leading managers or senior technical leads.
- Proven track record scaling engineering teams and delivering complex, high-impact software systems.
- Strong technical foundation in software architecture, cloud technologies, and modern development practices.
- Demonstrated ability to balance technical depth with strategic leadership.
- Exceptional communication, organizational, and stakeholder-management skills.
- Experience in a matrix organization with both direct and dotted-line structures.
- Background working in Agile environments—Scrum, Kanban, or hybrid models.
- Familiarity with platform engineering, developer experience tooling, or productivity enablement.
Benefits
- Equal Opportunity Employer
- Health insurance
- Retirement plans
- Flexible work arrangements
- Professional development
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
Data Engineering Manager at Partnership for Public Service. Leading data engineering for public - facing data products and internal resources in a hybrid work environment.
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