Full-Time Director Data Engineering

What you'™ll be responsible for:

As 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.

What you'll work on:

• 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 data engineers (managers and ICs)

You will aspire to our four core values:

• Driven by Excellence - you are driven by our mission and our passion for customer success which means you relentlessly pursue excellence, that you do not tolerate mediocrity and you work intensely to achieve your goals. 
• Multistakeholder - you have dedication and commitment to our customers, shareholders, employees and families and local communities.
• Mindful - you seek to be respectful, an active listener and to pay attention to detail.  
• High Integrity - you seek open and honest communication, and you hold yourself to very high moral and ethical standards.  You reject manipulation, dishonesty and intolerance.

What you'll bring to Circle:

• 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