Data Platform Engineering Manager - AI-Driven Analytics

Circle; Annapolis (MD); On-site; USD 195,000 - 237,000; Full time

Job summary

Circle’s Data Platform Engineering Manager leads a senior team building the ingestion, orchestration, warehouse, BI, and real‑time data services that power analytics, monitoring, and AI workloads.

You will own the roadmap, guide architecture with staff engineers, grow engineers, and partner across Data Engineering, Data Science, Analytics, Product Engineering, Security, and Finance to deliver scalable data capabilities.

Qualifications

• 5+ years in data/ML/platform engineering leadership.
• Hands‑on experience with warehouse/orchestration/ingestion platforms at scale (e.g., BigQuery, Airflow, Pub/Sub, Kafka, Iceberg).
• Defined and met data SLOs; ability to adjust architecture when data quality is compromised.
• Experience with LLM/agentic data systems and evaluation frameworks.
• Ability to design self‑service platforms used by multiple teams.

Responsibilities

• Own vision, architecture, and roadmap for data ingestion, orchestration, warehouse, BI, and real‑time services.
• Lead and grow senior engineers; develop ICs into technical leaders.
• Guide AI‑agent management, guardrails, and output quality.
• Ensure datasets are governed with provenance, access controls, and reproducibility.
• Collaborate across teams to build reusable platform capabilities.

Skills

People management

Data platform

AI/agentic fluency

Technical leadership

Hands-on coding

Design reviews

Communication

Tools

BigQuery

Airflow

Pub/Sub

Kafka

Iceberg

Job description

Circle’s Data Platform Engineering Manager leads a senior team building the ingestion, orchestration, warehouse, BI, and real‑time data services that power analytics, monitoring, and AI workloads.

You will own the roadmap, guide architecture with staff engineers, grow engineers, and partner across Data Engineering, Data Science, Analytics, Product Engineering, Security, and Finance to deliver scalable data capabilities.