Data Platform Engineering Manager - AI & Data Integrity

Circle; Jefferson City (MO); On-site; USD 195,000 - 237,000; Full time

Job summary

Circle is seeking a Data Platform Engineering Manager to lead senior engineers building ingestion, orchestration, data warehouse, BI, and real-time data services. You will own the roadmap, partner on architecture, and collaborate with Data, Analytics, Product, Security, and Finance to deliver scalable data infrastructure.

This is a hands-on leadership role with responsibility for correctness by construction, self-service by default, and robust access controls.

Qualifications

• 4+ years managing software engineers, including hiring, performance management, and coaching.
• 6+ years in data, ML, or platform engineering.
• Hands-on data platform experience at scale (warehouse, orchestration, streaming, ingestion).
• Defined and met data SLOs and validation; changed architecture when data was wrong or untrusted.
• AI/agentic data systems experience (LLM-based, semantic layers, pipeline agents).
• Self-service platform thinking; drive adoption and reduce bespoke requests.
• Technical leadership with end-to-end platform project ownership.
• Strong written and verbal communication across analysts, scientists, engineers, and partners.
• AI fundamentals: data labeling, evaluation, drift, and quality controls.

Responsibilities

• Own vision, architecture, and roadmap for ingestion, orchestration, warehouse, BI, and real-time data services.
• Manage, coach, and grow senior engineers and hire effectively.
• Lead AI-agent management, guardrails, and review standards.
• Ensure datasets are governed with provenance, access controls, and reproducibility.
• Enable AI tooling and agentic capabilities for design, coding, testing, and on-call work.
• Establish data contracts, lineages, and data quality checks (SLOs).
• Build reusable platform capabilities with cross-team collaboration.
• Stay close to code through design reviews, debugging, and prototyping.
• Operate with clear SLAs, cost attribution, and production readiness.

Skills

People management

Data platform experience

AI/agentic fluency

Self-service platform thinking

Technical leadership

Hands-on coding

Clear communication

AI fundamentals

Blockchain data (scale)

Distributed leadership

Tools

BigQuery

Airflow

Pub/Sub

Kafka

Iceberg

Job description

Circle is seeking a Data Platform Engineering Manager to lead senior engineers building ingestion, orchestration, data warehouse, BI, and real-time data services. You will own the roadmap, partner on architecture, and collaborate with Data, Analytics, Product, Security, and Finance to deliver scalable data infrastructure.

This is a hands-on leadership role with responsibility for correctness by construction, self-service by default, and robust access controls.