Data Engineering Director
1 month ago
Circle is a financial technology company at the forefront of the emerging internet of money, where value can flow like other digital data - globally, nearly instantly and less expensively than legacy settlement systems. Our infrastructure - including USDC, a blockchain-based dollar - helps businesses, institutions and developers harness these breakthroughs and capitalize on this major turning point in the evolution of money and technology.
What You'll Be Part OfCircle is committed to transparency 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: Multistakeholder, Mindfulness, Driven by Excellence and High Integrity. Circlers are consistently evolving in a remote world where strength in numbers fuels team success. We have built a flexible and diverse work environment where new ideas are encouraged and everyone is a stakeholder.
What You'll Be Responsible ForAs a Director, Data Engineering at Circle, you'll work closely with Engineers productizing data solutions and scalable data pipelines that support these solutions. You'll have the opportunity to significantly impact internal data consumption and decision making. We are a passionate team with a deeply analytical mindset, and your work will support us in our mission to be a world-class company driven by data.
Key Responsibilities- Drive data engineering efforts, communicate cross-functionally, and be a subject matter expert
- Partner with Analytics, Product, and Engineering teams to build out platforms and datasets to enable the business by creating road maps and help prioritize data engineering work
- Support the individual and career growth of team members to minimize attrition and maximize output
- Become an expert on data sources and ETL flows at Circle
- Implement, maintain and optimize data warehouse as well as other tooling
- Manage a team of data engineers (managers and ICs)
10+ years of industry experience working with large datasets and modern data tools
5+ years of experience with technical leadership and people management
Knowledge of a scientific computing language (Python) and Expert at SQL
Theoretical and applied expertise in database / data warehouse design
Hands-on experience with common software development flows and tools (Linux, git, AWS)
Experience designing and implementing complex modeling solutions from ideation to production at scale
Ability to understand complex business problems and break down analytics projects into a structured approach
Track record of developing, managing and retaining data engineers
Experience managing remote teams
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