Senior Data Platform Engineer at Stand Together in Arlington, TX

Stand Together is a philanthropic community that helps America’s boldest changemakers tackle the root causes of our country’s biggest problems, from education to the economy, broken communities, and toxic division, among dozens of other pressing issues . We provide our partners with access to resources including funding, thought leadership, a network of peers, and a playbook for applying proven principles to transform lives and society. We are seeking a Senior Data Platform Engineer to join our Data Platform and Engineering team. The Senior Data Platform Engineer will establish and own a layered automated testing and validation framework across the data platform. As data consumption expands across business intelligence tools, custom applications, semantic-layer access patterns, and AI-enabled interfaces, this role will ensure platform reliability, correctness, and scalability through stronger development-time quality controls. This position is responsible for creating the testing and validation foundation needed to reduce manual QA burden, improve release confidence, and mitigate business risk associated with public-facing and AI-enabled data consumption. The role will focus initially on establishing a reliability baseline across core data products and public-facing integrations, then provide ongoing shared ownership of the data platform and its continuous improvement. This position is open to both HQ-based and remote candidates. Stand Together is a philanthropic community that helps America’s boldest changemakers tackle the root causes of our country’s biggest problems, from education to the economy, broken communities, and toxic division, among dozens of other pressing issues. We provide our partners with access to resources including funding, thought leadership, a network of peers, and a playbook for applying proven principles to transform lives and society. We are seeking a Senior Data Platform Engineer to join our Data Platform and Engineering team. The Senior Data Platform Engineer will establish and own a layered automated testing and validation framework across the data platform. As data consumption expands across business intelligence tools, custom applications, semantic-layer access patterns, and AI-enabled interfaces, this role will ensure platform reliability, correctness, and scalability through stronger development-time quality controls. This position is responsible for creating the testing and validation foundation needed to reduce manual QA burden, improve release confidence, and mitigate business risk associated with public-facing and AI-enabled data consumption. The role will focus initially on establishing a reliability baseline across core data products and public-facing integrations, then provide ongoing shared ownership of the data platform and its continuous improvement. This position is open to both HQ-based and remote candidates.