Manager, Data Engineering-; DAFgiving

Position: Manager, Data Engineering- (DAFgiving360)
Your OpportunityDAFgiving
360 is an independent nonprofit organization created to increase charitable giving in the U.S. We offer a donor-advised fund program and related philanthropic tools and guidance that empower donors to incorporate charitable planning into their everyday lives and make a bigger difference in the world. Since our founding in 1999 as a 501(c)(3) public charity, DAFgiving
360 donors have recommended over $50 billion in grants to more than 295,000 charities. DAFgiving
360 has entered into a services agreement with Charles Schwab & Co., Inc. for administrative and other services, including human resources. This position will be an employee of Charles Schwab & Co., Inc. and will be subject to its policies and procedures but will report to and be accountable to DAFgiving
360 for day-to-day activities.

We believe in the importance of in-office collaboration and fully intend for the selected candidate for this role to work on site in the specified location(s):
Westlake or Austin, TX Our Opportunity The Manager Data Engineer is a senior technical contributor within DAFgiving
360’s Data organization responsible for designing, building, operating, and evolving DAFgiving
360’s modern data platform and engineering capabilities. This role serves as a key engineering owner of GIFT (Giving Insights, Foundational Trust), helping ensure that enterprise data is reliable, scalable, secure, and accessible to support analytics, operational decision-making, automation, and future AI initiatives.

Working closely with Analytics, Data Governance, Technology, Product, and business stakeholders, this individual will lead hands-on engineering efforts spanning data ingestion, integration, transformation, quality, monitoring, and platform operations. The role balances technical execution with strategic platform planning and helps advance DAFgiving
360’s Foundation
360 strategy by reducing data complexity, improving data accessibility, increasing platform reliability, and establishing the trusted data foundation required for future AI and automation capabilities.

What You’ll DoYou are a hands-on builder who can move between implementation details and platform-level thinking. You are energized by improving reliability, simplifying complexity, and partnering across teams to deliver data products people trust and use.

Data Platform Engineering Build and maintain scalable ingestion, transformation, and integration pipelines.

Develop reusable data products and shared engineering patterns.

Improve platform reliability, performance, and maintainability through monitoring, alerting, and operational improvements.

Support production operations, release activities, and business continuity planning as part of a shared team model.

Architecture & Modernization Partner with architects and engineers to implement modern data architecture and engineering standards.

Onboard new data sources across raw, staging, and analytics-ready layers.

Simplify legacy data structures, reduce duplicated logic, and align models to business concepts.

Data Quality, Trust, & Governance Implement data quality checks, automated testing, and observability practices.

Partner with Data Governance on metadata, lineage, glossary, and stewardship standards.

Ensure data solutions align with security, privacy, retention, and compliance requirements.

Help identify and prevent recurring data defects across critical assets.

Cross-Functional Delivery & Influence Translate business and analytics needs into robust technical solutions.

Recommend improvements that reduce manual effort and improve data accessibility.

Contribute to technical standards, documentation, and engineering best practices.

Communicate clearly with technical and non-technical partners and…