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 circle.com.
What you’ll be part of:
Circle is committed to visibility and stability in everything we do. As we grow as an organization, we're expanding into some of the world's 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 you’ll 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 environments—driving alignment, mitigating risk, and delivering robust, scalable data solutions.
What you’ll 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 you’ll bring to Circle
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
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.
Base Pay Range: $225,000 - $290,000We 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 to accommodations@circle.com for support. We respect your privacy and will connect with you separately from our interview process to accommodate your needs.
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