Data Platform Engineering Manager — AI‑Driven, Self‑Service

Circle

Helena (MT)

On-site

USD 195,000 - 237,000

Full time

16 hours ago
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Job summary

Circle is seeking a Data Platform Engineering Manager to lead a senior team responsible for ingestion, orchestration, warehouse, BI, and real‑time data services. You will drive the roadmap, partner with the Staff Engineer on architecture, and enable self‑service data workflows for analytics and product teams.

This hands‑on leadership role emphasizes correctness, auditable data, and secure access controls across Circle’s data infrastructure, collaborating with data, security, and finance partners

Qualifications

  • 4+ years managing software engineers, including hiring, performance management, and coaching.
  • 6+ years in data, ML, and/or platform engineering.
  • Hands-on experience building and operating warehouse, orchestration, streaming, or ingestion platforms at scale.
  • Experience with data tooling and governance.
  • Experience with AI/agentic data systems is a plus.

Responsibilities

  • Lead the Data Platform Engineering team to deliver correct-by-construction, self-service data infrastructure.
  • Own the roadmap and partner with the Staff Engineer on architecture and long-term direction.
  • Grow and coach senior engineers and hire effectively.
  • Collaborate with Data Engineering, Data Science, Analytics, Product Engineering, Security, TechOps, and Finance.
  • Maintain high-quality designs, reviews, and incident response, with prototypes when needed.

Skills

Data platform
People management
Engineering leadership
Architectural design
AI systems

Tools

BigQuery
Airflow
Pub/Sub
Kafka
Iceberg

Job description

Circle is seeking a Data Platform Engineering Manager to lead a senior team responsible for ingestion, orchestration, warehouse, BI, and real‑time data services. You will drive the roadmap, partner with the Staff Engineer on architecture, and enable self‑service data workflows for analytics and product teams.

This hands‑on leadership role emphasizes correctness, auditable data, and secure access controls across Circle’s data infrastructure, collaborating with data, security, and finance partners

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