DataOps Engineer
Core
Own end-to-end delivery and operational uptime of Enterprise Data and Analytics (ED&A) infrastructure projects, driving alignment between technical requirements and business outcomes for cloud-native automation solutions.
Role type
Senior IC DataOps Engineer
Builds
Cloud-native automation solutions, data infrastructure, orchestration pipelines, and AI-augmented workflows for enterprise data workloads.
Domain
SaaS, Data Engineering, Cloud Infrastructure, AI/ML Ops
Deliverable
production ML models | infrastructure
Required skills
Cloud-native automation, Infrastructure as Code (Terraform), Data pipeline orchestration, CI/CD management, Data governance frameworks, Observability patterns, Agile sprint leadership, Cross-functional technical alignment
Preferred skills
Snowflake data architectures, Fivetran connectivity, dbt transformation networks, GitHub Actions, Enterprise data platforms (Atlan, Sigma), LLM orchestration frameworks, AI coding assistants (Cursor, GitHub Copilot), Unit-test automation, Syntax refactoring
Technologies
Snowflake, Terraform, Fivetran, dbt, GitHub, Jira, Smartsheet, Acceldata, Atlan, GitHub Actions, Cursor, GitHub Copilot
Responsibilities
Own end-to-end configuration, platform delivery, and deployment architectures for data infrastructure and orchestration pipelines; Architect and mandate modular documentation frameworks across shared repositories; Own operational uptime and proactive risk mitigation for core data environments; Lead multi-disciplinary technical squads through complex engineering sprints; Operationalize and enforce DataOps validation frameworks within continuous integration pipelines; Design, refine, and embed automated AI-augmented validation workflows and agentic prompting chains.
Seniority
Senior, hands-on IC
