Director, Data Engineering — Remote Platform Leadership

Circle

Phoenix (AZ)

Remote

USD 228,000 - 293,000

Full time

14 days+
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Benefits offered by this job

Equity and Benefits (medical, dental,

Job summary

Circle is seeking a Director of Data Engineering to lead scalable data platforms and pipelines, partnering with Analytics, Product, and Engineering. You will guide a remote team, shape data strategy, and drive data-driven decision making to support Circle's mission in the internet of money.

You will oversee data warehouse design, ETL architectures, and modern data tooling, while mentoring engineers and aligning with business goals.

Qualifications

  • 10+ years of industry experience with large datasets and modern data tools.
  • 5+ years of technical leadership and people management.
  • Proficiency in Python and SQL.
  • Design experience for databases and data warehouses.
  • Hands-on experience with Linux, Git, and AWS.
  • Experience designing data models and scalable data pipelines.

Responsibilities

  • Drive data engineering efforts across cross-functional teams and act as a subject matter expert.
  • Partner with Analytics, Product, and Engineering to build platforms and datasets and create roadmaps.
  • Support team growth, retention, and output optimization.
  • Become an expert on Circle's data sources and ETL flows.
  • Implement, maintain, and optimize data warehouse and tooling.
  • Manage a team of data engineers (managers and ICs).

Skills

Data engineering
People management
Python
SQL
Data warehouse design
Linux
Git
AWS
Data modeling
Analytical thinking
Talent management
Remote leadership

Tools

Linux
Git
AWS

Job description

Circle is seeking a Director of Data Engineering to lead scalable data platforms and pipelines, partnering with Analytics, Product, and Engineering. You will guide a remote team, shape data strategy, and drive data-driven decision making to support Circle's mission in the internet of money.

You will oversee data warehouse design, ETL architectures, and modern data tooling, while mentoring engineers and aligning with business goals.

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