Data Platform Engineering Manager: AI-Driven Pipelines

Circle; Pierre (SD); On-site; USD 195,000 - 237,000; Full time

Job summary

Circle is seeking an experienced Data Platform Engineering Manager to lead a senior team building the data ingestion, orchestration, warehouse, BI, and real-time services. The role emphasizes correctness, self-service access, and AI-enabled workflows with strong governance.

You will partner across Data Eng, Data Science, Analytics, Product Eng, Security, TechOps, and Finance to deliver reusable platform capabilities and scalable data infrastructure while maintaining high-quality engineering

Qualifications

• 4+ years managing software engineers; 6+ years in data/platform engineering.
• Hands-on data platform experience at scale: warehouse, orchestration, streaming.
• AI/data systems experience with governance and access controls.
• Strong design, prototyping, and system optimization skills.

Responsibilities

• Own the vision, architecture, and roadmap for ingestion, orchestration, warehouse, BI, and real-time data services.
• Manage, coach, and grow senior engineers; develop ICs into technical leaders.
• Lead AI-agent management, guardrails, and review standards.
• Treat datasets as AI infrastructure with provenance and reproducibility.
• Leverage AI to increase team output with agentic tooling.
• Design self-service platform workflows for onboarding sources and dashboards.
• Operate a reliable production platform with SLAs, budgets, and rollbacks.
• Collaborate with Data Eng, Data Science, Analytics, Product Eng, Security, and Finance.
• Stay close to code: review designs, debug pipelines, prototype when needed.

Skills

People management

Data platform engineering

Technical leadership

AI systems

Self-service platform

Code reading & reviews

Communication

AI fundamentals

Distributed teams

Hands-on debugging

Tools

BigQuery

Airflow

Pub/Sub

Kafka

Iceberg

Job description

Circle is seeking an experienced Data Platform Engineering Manager to lead a senior team building the data ingestion, orchestration, warehouse, BI, and real-time services. The role emphasizes correctness, self-service access, and AI-enabled workflows with strong governance.

You will partner across Data Eng, Data Science, Analytics, Product Eng, Security, TechOps, and Finance to deliver reusable platform capabilities and scalable data infrastructure while maintaining high-quality engineering