Principal DataOps Engineer (DevOps for Data)
Core
Architect and lead the long-term vision, execution standards, and multi-quarter roadmaps for a mission-critical enterprise cloud infrastructure portfolio and data platform program.
Role type
Principal DataOps Engineer (strategic leader & primary architect)
Builds
Mission-critical enterprise cloud infrastructure, data-as-a-product assets, and AI-forward operating models
Domain
Enterprise Data & Analytics, Cloud Infrastructure, AI/LLM Operations
Deliverable
production ML models | infrastructure
Required skills
Technical leadership, Infrastructure as Code (Terraform), CI/CD pipeline orchestration, high-scale distributed data platforms, modern warehouse layouts, AI-native development, agent network design, data governance, predictive telemetry
Preferred skills
GitHub Actions, Snowflake, Fivetran, Sigma, Atlan, Cursor IDE, Sana, Gemini
Technologies
Terraform, GitHub Actions, Snowflake, Fivetran, Sigma, Atlan, Cursor IDE, Sana, Gemini
Responsibilities
Define long-term vision and core execution standards for enterprise cloud infrastructure; Govern global platform administration paradigms and IaC architecture standards; Mitigate existential infrastructure and architecture risks; Sponsor cross-functional technical review boards; Establish operational blueprints for embedding DataOps and Active Data Governance into continuous delivery pipelines; Pioneer AI-first workforce strategies by building division-level agent networks and automated scripts
Seniority
Principal, hands-on IC with strategic leadership
