Data Platform Engineering Manager - AI-Driven & Self-Serve

Circle; Sacramento (CA); On-site; USD 195,000 - 237,000; Full time

Job summary

Circle is seeking a DP Engineering Manager in California to lead senior data platform engineers and own the roadmap for ingestion, orchestration, warehouse, BI and real-time data services that power analytics and AI workloads.

In this hands‑on leadership role you will mentor engineers, align with architecture, ensure self-service access for teams, enforce data access controls and audits, and collaborate with cross‑functional partners to deliver reliable data platforms.

Qualifications

• 4+ years managing software engineers, including hiring and performance management.
• 6+ years in data, ML, and/or platform engineering.
• Hands-on data platform experience with warehouse, orchestration, streaming, or ingestion at scale.
• Experience with AI-enabled data systems and agentic data workflows.
• Strong written and verbal communication across analysts, scientists, engineers, and finance partners.

Responsibilities

• Lead the Data Platform team to deliver correct-by-construction pipelines and architectures.
• Own the roadmap and collaborate with staff engineers on architecture.
• Mentor senior engineers and foster internal growth.
• Ensure self-service platform capabilities for other teams.
• Maintain production systems with SLAs and incident response.

Skills

People management

Data platform experience

AI/agentic fluency

Self-service platform mindset

Technical leadership

Hands-on coding

Communication skills

AI fundamentals

Distributed team leadership

Tools

BigQuery

Airflow

Pub/Sub

Kafka

Iceberg

Python

Go

Java

Job description

Circle is seeking a DP Engineering Manager in California to lead senior data platform engineers and own the roadmap for ingestion, orchestration, warehouse, BI and real-time data services that power analytics and AI workloads.

In this hands‑on leadership role you will mentor engineers, align with architecture, ensure self-service access for teams, enforce data access controls and audits, and collaborate with cross‑functional partners to deliver reliable data platforms.