Senior DataOps Engineer - Data Systems & Reliability(Hybrid)

Responsibilities

Build and scale CI/CD pipelines for complex data workloads (Spark, Delta Lake, Airflow). Implement Infrastructure as Code (Terraform/Ansible) and GitOps for hybrid environments. Enforce data contracts, schema validation, and automated quality testing. Programmatically apply masking, RBAC, and lineage for sensitive datasets. Own observability, cost-monitoring, and incident response for tier-one data domains.

Requirements

8+ years in engineering, with 2+ years dedicated to DataOps/DevOps. Deep expertise in Databricks, Spark, dbt, and Azure Data Factory. Skilled at GitHub Actions/Azure DevOps and IaC. Strong Linux proficiency (bash, distributed compute) and CDC experience. A good understanding of data governance and metadata management.

Benefits

Opportunity to own the DataOps strategy and autonomy to build a roadmap from the ground up within a mission-driven culture. Full relocation package, including visa sponsorship and comprehensive medical insurance for you and your family.

About the Company

Partnered with a Multi-billion organization undergoing a massive data transformation.