Key skills
Data architectureSQL proficiencyData pipeline developmentProgramming languagesWorkflow orchestrationCloud platformsData governanceCross functional partnershipBlockchain knowledgeConflict managementPythonJavaScalaSQLAIData EngineeringSnowflakeBigQueryDatabricksAirflowdbtAWSAzureGCPBlockchainMentoring
About this role
Circle is one of the world’s leading internet financial platform companies, building the foundation of a more open, global economy through digital assets and payment applications. As a Senior Data Engineering Manager, you will lead the Data Engineering organization, setting the vision and strategy while ensuring the delivery of reliable and impactful data solutions.
Responsibilities:
- Lead, mentor, and grow a team of data engineers (including staff / sr staff engineers and managers), supporting their career development and ensuring high-quality, timely delivery
- Partner with data analysts, data scientists, domain SMEs, data platform engineers, software engineers among other XFN partners to deliver trustworthy, actionable data for decision-making
- Serve as a hands-on technical leader by participating in code reviews, design reviews, and architectural decisions
- Drive the long-term vision for Circle’s data engineering practices, balancing innovation with operational excellence
- Explore and leverage AI-driven approaches to improve development efficiency and modernize workflows
- Enable Agentic AI solutions to leverage data across Circle
Requirements:
- 5+ years of direct people management experience, with a track record of coaching, mentoring, and growing data engineers, including very senior individual contributors and/or people managers
- 10+ years of hands-on data experience with strong data architecture, modeling, and pipeline development skills. Current hands on experience
- Deep proficiency in SQL within modern data warehouse environments (Snowflake, BigQuery, Databricks, etc.)
- Proficiency in one or more programming languages (Python, Java, Scala), with the ability to guide and review technical work
- Experience with workflow orchestration (Airflow, Dagster, DBT) and cloud platforms (AWS, GCP, Azure)
- Experience in data provenance, governance, and big data technologies (including open-source solutions)
- Strong cross functional partnership and conflict management skills
- Background in blockchain or financial data is a plus