Senior Officer, Data Engineering

The Foundation

We are the largest nonprofit fighting poverty, disease, and inequity around the world. Founded on a simple premise: people everywhere, regardless of identity or circumstances, should have the chance to live healthy, productive lives. We believe our employees should reflect the rich diversity of the global populations we aim to serve. We provide an exceptional benefits package to employees and their families which include comprehensive medical, dental, and vision coverage with no premiums, generous paid time off, paid family leave, foundation-paid retirement contribution, regional holidays, and opportunities to engage in several employee communities. As a workplace, we’re committed to creating an environment for you to thrive both personally and professionally.

The Team

As part of the IT Enterprise Data Solutions (EDS) department, the Data Engineering team’s mission is to lead on data technology and utilization, enabling informed decision-making and strategic insights across the foundation. We are committed to providing a robust, secure, and scalable data platform that empowers data-driven initiatives and cultivate collaboration. Working with our business operations and foundation strategy program partners, the team supports the management of the EDW, Enterprise Data Platform, building and integration of data systems, shared data exchange, data platform operations and data architecture support.

*This position is a limited-term position for 36 months. Relocation will not be provided.

Your Role

As a Senior Officer, Data Engineer, you are an experienced technical leader for the foundation’s Modern Data Platform. You are responsible for developing, delivering, and improving scalable, secure, and high-performing data solutions. These solutions enable enterprise reporting, analytics, search, AI, and data-driven decision-making across the foundation and its affiliates. You operate with a high degree of independence and accountability, serving as both a hands-on technical leader and a practice lead who shapes engineering standards, mentors engineers, and strengthens overall data platform capability. You translate complex organizational and technical challenges into practical data engineering strategies and scalable platform solutions. You are accountable not just for delivering pipelines or datasets, but for ensuring the health, reliability, performance, governance, and long-term sustainability of the enterprise data ecosystem.  

What You’ll Do

Technology & Architecture Leadership 

• Define and evolve the data engineering technology roadmaps aligned to business strategies, enterprise architecture, information security standards.  

• Provide architectural leadership on complex, cross-team data initiatives, ensuring solutions are scalable, secure, resilient, and maintainable.  

• Lead data platform and vendor evaluations, guiding build vs. buy decisions and ensuring consistency with enterprise technical direction.  

• Develop and promote data engineering standards for lakehouse architecture, ELT/ETL frameworks, data modeling, CI/CD, observability, and governance.  

• Anticipate technology impacts across applications, data, integrations, and infrastructure—and guide teams through informed trade-off decisions including assessing new technology.  

Solution Delivery & Engineering Excellence 

• Day-to-day hands-on execution and implementation of solutions - using modern data platforms, initiatives, processes and practices.  

• Be responsible for technical direction for large or multi-team delivery efforts, ensuring application of modern data engineering and DevSecOps practices.  

• Conduct architectural and technical reviews of solution designs, code, and delivery approaches to raise quality and consistency.  

• Champion automation, observability, and operational excellence to ensure platforms remain reliable, performant, and cost effective.  

• Pilot emerging technologies and guide their adoption into stable enterprise capabilities when appropriate.  

• Drive continuous improvement of engineering practices, tooling, automation and operational processes.  

Service & Portfolio Strategy 

• Partner with service managers and product owners to shape data service strategies, roadmaps and investment priorities.  

• Translate complex system challenges into actionable plans aimed to i