Senior Staff Data Engineer

• 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

• 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

What We Do

Circle (NYSE: CRCL) is a global internet financial platform company powering the foundation of an open borderless and programmable economy. Circle connects financial institutions enterprises and developers to the next generation of the internet financial system through digital assets such as USDC Circle Payments Network for global money movement and Arc an enterprise-grade blockchain designed to become the Economic OS for the internet. Supporting trillions of dollars in economic activity and serving hundreds of millions of users worldwide Circle enables value to move with the speed security and transparency of the internet. 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.

Why Work With Us

Our employees are treated as people first with a real purpose for being here. Circle has created an environment where people can thrive grow be challenged and constantly build on their career. It's this same environment that draws competitive strength from within our employee base.

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