Senior Staff Data Engineer

Circle (NYSE: CRCL) is one of the worlds leading internet financial platform companies building the foundation of a more open global economy through digital assets payment applications and programmable blockchain infrastructure. Circles platform includes the worlds 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 .

What youll be part of:

Circle is committed to visibility and stability in everything we do. As we grow as an organization were expanding into some of the worlds strongest jurisdictions. Speed and efficiency are motivators for our success and our employees live by our company values: 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.

What youll be responsible for

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 environmentsdriving alignment mitigating risk and delivering robust scalable data solutions.

What youll work on

• Define and implement organization-wide data quality standards including data contracts SLAs and governance frameworks across domains

• Design and scale reliability and observability frameworks including SLI/SLO models lineage tracking monitoring and alerting patterns

• Establish and evolve incident management practices including severity models escalation paths on-call structures and blameless postmortems

• Develop and standardize data engineering SDLC practices including testing strategies CI/CD versioning and reusable frameworks

• Drive cross-functional prioritization of reliability initiatives balancing technical debt operational health and product delivery across teams

• Lead ecosystem-wide platform improvements identifying architectural gaps reducing fragmentation and influencing build vs buy decisions

• Own and deliver complex high-impact data initiatives aligning stakeholders mitigating risks and driving scalable solutions in ambiguous environments

What youll bring to Circle

Core Requirements

• Extensive experience designing and operating scalable data platforms with a focus on reliability quality and observability

• Experience leveraging AI tools and methodologies to design and implement the solutions

• Deep expertise in data architecture including data modeling pipeline design and distributed data systems

• Proven ability to define and implement data quality frameworks including SLAs data contracts and governance standards

• Strong experience establishing SLI/SLO frameworks monitoring and alerting for large-scale data systems

• Demonstrated ability to lead complex cross-team technical initiatives and drive alignment across stakeholders

• Experience defining and scaling engineering best practices including testing CI/CD and development standards for data systems

Preferred Requirements

• Experience building or evolving data platforms in high-growth or highly regulated environments (e.g. fintech payments crypto)

• Familiarity with modern data tooling ecosystems including orchestration transformation metadata and observability platforms

• Experience with technologies such as Astronomer (Airflow) BigQuery dbt Dataplex Kubernetes and programming languages like Python or Go or comparable tools in the modern data stack

• Track record of influencing platform strategy including build vs buy decisions and long-term architectural evolution

Circle is on a mission to create an inclusive financial future with transparency at our core. We consider a wide variety of elements when crafting our compensation ranges and total compensation packages.

Starting pay is determined by various factors including but not limited to: relevant experience skill set qualifications and other business and organizational needs. Please note that compensation ranges may differ for candidates in other locations.

We are an equal opportunity employer. We do not discriminate on the basis of race religion color national origin gender sexual orientation age marital status veteran status or disability status or any other protected status required by the laws in the locations where we hire. Additionally Circle participates in the E-Verify Program in certain locations as required by law.

Should you require accommodations or assistance in our interview process because of a disability please reach out tofor support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.

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