About the job
Data Platform Technical Lead
Location: Boston, MA (Hybrid — 2 days per week in office)
Optional Location: Remote (EST)
About Us
Clasp is a venture-backed, mission-focused startup dedicated to transforming access to education and career pathways. We are innovating the way employers attract and retain essential talent while addressing the student debt crisis. Our groundbreaking platform effectively connects employers, educational institutions, and diverse talent, using accessible education financing as a key component. We see ourselves as more than a fintech; we are a catalyst for economic mobility.
Recognized as a Forbes Fintech 50 company and a portfolio entity of SHRM (the largest HR organization), Clasp has also been named one of the “43 Start Ups to Bet Your Career On in 2025” by Business Insider. Our commitment to social impact and innovation drives us to reshape the workforce's future through meaningful opportunities. Join us in empowering learners and unlocking rewarding careers that create positive change in their communities and beyond.
The Role – Data Platform Technical Lead
At Clasp, our full-stack Data team is tasked with constructing and maintaining the data infrastructure that integrates our go-to-market systems, internal applications, and data warehouse. As we expand, we are restructuring the team to emphasize data orchestration, reliability, and interoperability, alongside downstream reporting and analytics. We are in search of a strong leader to spearhead the roadmap and execution of this transformation.
You will take charge of designing, building, and operating the data infrastructure that ensures reliable and consistent data movement across systems, into our data warehouse, and out to analytics and consumer layers. Leading a small team, you will define SLAs, enhance observability, and establish standards. You will be empowered to act as a product owner for the “data as infrastructure” layer, collaborating closely with reporting, BI, and analytics stakeholders to ensure that data flows and semantic models meet functional needs.

