Senior Staff Data Engineer at Circle

<p>Circle (NYSE: CRCL) is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets, payment applications, and programmable blockchain infrastructure. Circle’s platform includes the world’s largest regulated stablecoin network anchored by USDC, Circle Payments Network for global money movement, and Arc, an enterprise-grade blockchain designed to become the Economic OS for the internet. Enterprises, financial institutions, and developers use Circle to power trusted, internet-scale financial innovation. Learn more at <a target="_blank" href="http://circle.com/"><span style="color:#005cb9"><u>circle.com</u></span></a>.</p><p></p><p><b>What you’ll be part of:</b></p><p></p><p>Circle is committed to visibility and stability in everything we do. As we grow as an organization, we&#39;re expanding into some of the world&#39;s strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by <a target="_blank" href="http://careers.circle.com/us/en/#working-at-circle"><span style="color:#005cb9"><u>our company values</u></span></a>: High Integrity, Future Forward, Multistakeholder, Mindful, and Driven by Excellence. We have built a flexible work environment where new ideas are encouraged and everyone is a stakeholder.</p><p></p><p><b>What you’ll be responsible for</b></p><p><span>You will define and drive the strategy for data reliability, quality, and operational excellence across the organization, shaping how Circle builds and trusts its data ecosystem. This includes establishing company-wide standards for data quality, contracts, and governance; designing scalable reliability and observability frameworks; and institutionalizing incident management practices that promote a culture of accountability and continuous improvement. You will influence platform and architectural decisions to ensure long-term scalability, reduce systemic risk, and eliminate classes of failure across the data landscape. As a senior technical leader, you will also guide cross-team prioritization of reliability investments, define best-in-class data engineering practices, and lead complex, high-impact initiatives in ambiguous environments—driving alignment, mitigating risk, and delivering robust, scalable data solutions.</span></p><p></p><p></p><p><b><b>What you’ll work on</b></b></p><ul><li><p><span>Define and implement organization-wide data quality standards, including data contracts, SLAs, and governance frameworks across domains</span></p></li><li><p><span>Design and scale reliability and observability frameworks, including SLI/SLO models, lineage tracking, monitoring, and alerting patterns</span></p></li><li><p><span>Establish and evolve incident management practices, including severity models, escalation paths, on-call structures, and blameless postmortems</span></p></li><li><p><span>Develop and standardize data engineering SDLC practices, including testi