Data Platform Engineering Manager — AI-Driven

Circle; Tallahassee (FL); On-site; USD 195,000 - 237,000; Full time

Job summary

Circle is seeking an DP Engineering Manager to lead a team of senior data platform engineers building ingestion, orchestration, and a company-wide data warehouse. You will own the roadmap, mentor senior ICs, and ensure data quality and AI-ready infrastructure.

You will collaborate with Data Engineering, Data Science, Analytics, and Finance to deliver scalable, self-service data solutions, with a focus on correctness, auditability, and production reliability.

Qualifications

• 4+ years managing software engineers, including hiring and performance management, plus 6+ years in data, ML, or platform engineering.
• Deep data platform experience: warehouse, orchestration, streaming, or ingestion at scale (e.g., BigQuery, Airflow, Pub/Sub, Kafka, Iceberg).
• Defined data SLOs, validated data quality, and updated architecture when data was wrong or untrusted.
• Experience with AI/LLM-based data systems, semantic layers, or agent frameworks.
• Self-service platform design, driving adoption and reducing bespoke requests.
• Technical leadership delivering end-to-end platform projects with production impact.
• Hands-on coding mindset: read code, review designs, debug pipelines, and prototype when helpful.
• Strong written and verbal communication to explain complex systems to analysts, engineers, and finance partners.
• Knowledge of AI fundamentals: data labeling, evaluation, and maintaining data quality and provenance.

Responsibilities

• Own vision, architecture, and roadmap for ingestion, orchestration, warehouse, BI, and real-time data services.
• Lead and grow senior engineers; develop them into technical leaders and hire effectively.
• Oversee AI-agent management, guardrails, and output quality controls.
• Treat datasets as infrastructure with provenance, labeling workflows, access controls, and reproducibility.
• Scale platform with self-service tooling for onboarding sources, pipelines, and dashboards.
• Maintain production platform with SLAs, cost attribution, and budgeting considerations.
• Collaborate across Data Engineering, Data Science, Analytics, Product, Security, and Finance to build reusable platform capabilities.
• Stay close to code: design reviews, debugging, and prototyping to accelerate progress.

Skills

Team management

Data platform

Technical leadership

Hands-on coding

Clear communication

Cross-team collaboration

AI/ML data systems

Platform scalability

Distributed team leadership

Tools

BigQuery

Airflow

Pub/Sub

Kafka

Iceberg

Python

Go

Java

Job description

Circle is seeking an DP Engineering Manager to lead a team of senior data platform engineers building ingestion, orchestration, and a company-wide data warehouse. You will own the roadmap, mentor senior ICs, and ensure data quality and AI-ready infrastructure.

You will collaborate with Data Engineering, Data Science, Analytics, and Finance to deliver scalable, self-service data solutions, with a focus on correctness, auditability, and production reliability.