Data Engineering Manager

Role overview A leadership role managing data engineering teams that power detection engines, alerting, and case-management workflows for industrial control system telemetry. The manager will guide a data platform through active consolidation, including migration off legacy datastores, while shaping the analytics architecture for the next phase of growth.

Responsibilities - Lead and mentor a team of data engineers, growing them technically and professionally - Drive hiring and team scaling to align with the roadmap - Own technical strategy for the data platform, including database version upgrades and migration off legacy datastores - Partner with product and engineering to define data models, schemas, and analytics architecture - Plan migration and reindex timing with product teams for customer-operated, on-prem deployments - Drive performance optimization across the owned data platform - Champion adoption of AI-assisted development tools and workflows - Own production support for fielded deployments, including incident response

Requirements - 7+ years of engineering management experience - Management experience with Agile practices and cross-functional product teams - Strong technical background in data-intensive systems, including PostgreSQL at scale in production - Prior hands-on engineering experience with some combination of Elasticsearch, Airflow, Docker, Kubernetes, Python, and Rust - Direct experience leading a team through a migration off a legacy datastore (MongoDB, MariaDB, or similar) - Experience shipping software onto customer-managed or on-prem infrastructure - Daily hands-on use of AI-assisted development tools - Comfort reading code and debugging production issues directly

Nice to have - Cybersecurity, SOC, or OT/ICS domain exposure

Benefits and work setup Remote-first position. Base salary of $220,000 with a competitive equity package and a comprehensive benefits plan.