AI Ops Engineer - Enterprise Data Platform
Core
Manage the end-to-end health of a client's enterprise data estate as a single accountable control tower, using AIOps and GenAI to automate triage, predict failures, and resolve incidents while maintaining human oversight.
Role type
Senior IC AI Ops Engineer (Enterprise Data Platform)
Builds
Automated observability services, incident resolution workflows, and governance frameworks for enterprise data estates.
Domain
Enterprise Data Operations / AIOps / Data Warehousing
Deliverable
production ML models
Required skills
AIOps implementation, GenAI integration, SQL, dimensional data modeling, incident management, problem management, service governance, ITSM processes, job scheduling, stakeholder communication
Preferred skills
Snowflake platform experience, Informatica PowerCenter, MicroStrategy, Python/PySpark for automation, FinOps practices, ITIL certification
Technologies
dbt, ServiceNow, Tidal, Control-M, Autosys, Snowflake, Informatica PowerCenter, MicroStrategy, Python, PySpark
Responsibilities
Drive service scorecard initiatives (SLA, MTTR, data freshness, FinOps); Lead diagnosis on major incidents across domain boundaries; Contribute to Standard Operating Procedures for the estate; Drive problem management to convert recurring incidents into permanent fixes; Maintain technical standards across legacy and modern stacks; Mentor junior team members; Participate in client meetings during major incidents and own post-incident reviews.
Seniority
Senior, hands-on IC with leadership responsibilities