Manager, Software Engineering
About The Position
The Senior Manager, Software Engineering leads global engineering teams in delivering scalable engineering practices and trusted dimensional data models that power reporting, analytics, AI, and enterprise data products. The role champions a secure, high-performing, reliable, and future-ready data platform, and partners with business and technology leaders to align strategy, guide investment, standardize best practices, and foster continuous innovation. The role defines the firm’s global data engineering strategy, architecture, and roadmap; leads and mentors global teams; and provides hands-on technical leadership across Databricks, dimensional modeling, pipelines, orchestration, and integration. It builds trusted models, curated datasets, and enterprise data products while establishing reusable standards and optimizing platform performance, resilience, maintainability, and cost. The Senior Manager also serves as the technical authority for complex architecture, integration, and production challenges, coordinates cross-regional delivery, advances modern engineering practices, and accelerates onboarding and integration of diverse data sources. This is a hybrid position, available in Colorado, Illinois, Washington state, or Washington, D.C. The role is eligible for an annual discretionary bonus and the listed benefits. Applications are accepted through November 13, 2026. The position is not eligible for immigration sponsorship; candidates must be authorized to work in the United States without employer sponsorship now or in the future.
Requirements
- Strategic thinking that aligns global data engineering with business priorities.
- Proven leadership and mentorship of technical teams and managers across regions.
- Ability to translate strategy into actionable architecture and delivery plans.
- Experience leading diverse, distributed teams across time zones and cultures.
- Executive presence and ability to explain complex technology to senior stakeholders.
- Advanced working knowledge of SQL, Python, and PySpark for data engineering and automation.
- Deep expertise in databases, ETL, data modeling, and warehousing.
- Proficiency in Python and advanced data pipeline design.
- Exceptional communication skills for executive presentations, reporting, and technical documentation.
- Bachelor’s degree in computer science, engineering, or a related discipline; relevant experience may substitute for the degree requirement.
- At least 7 years of progressive experience designing database solutions for on-premises and cloud environments, including support for multiple geographic regions.
- At least 5 years of progressive experience connecting to APIs and troubleshooting data connectivity issues.
- At least 3 years of experience managing people managers or team leads, ideally across multiple offices or regions.
Nice To Haves
- Expertise managing and designing Databricks in an enterprise environment.
- Expertise designing relational and dimensional models.
- Deep understanding of deploying data services on Microsoft Azure.
- Working knowledge of applying Elite 3E data structures in an analytical context.
- Working knowledge of Power BI data pipelines, semantic models, and Microsoft Fabric.
- Working knowledge of agentic AI orchestration platforms and management practices.
Responsibilities
- Define and drive the firm’s global data engineering strategy, architecture, and roadmap.
- Lead, mentor, and empower high-performing global engineering teams.
- Champion technical excellence across Databricks, dimensional modeling, pipelines, orchestration, and integration.
- Build trusted dimensional models, curated datasets, and enterprise data products.
- Establish reusable engineering standards that improve scalability, reliability, and consistency.
- Optimize platform performance, resilience, maintainability, and cost.
- Serve as the technical authority for complex architecture, integration, and production challenges.
- Coordinate cross-regional teams and foster collaboration and effective global delivery.
- Drive adoption of modern tools, standards, and engineering practices.
- Accelerate data onboarding and integration from diverse internal and external sources.
Benefits
- Annual discretionary bonus.
- 401(k) plan.
- Medical insurance.
- Dental insurance.
- Vision insurance.
- Accrued paid time-off plan starting at 20 days annually.
- Personal medical and parental leave.
- Up to 10 paid holidays.
- Family care benefits.
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What This Job Offers
Job Type
Full-time
Career Level
Senior
