Senior DataOps Engineer - Data Systems & Reliability(Hybrid)

Discover The OpportunityWe have partnered with a Multi-billion org that helps millions of people across the globe and we are now undergoing a massive Data transformation. We are looking for a Senior DataOps Engineer to bridge the gap between DevOps and Data Engineering. You will be the architect of our CI/CD frameworks, ensuring our data pipelines are automated, resilient, and production-ready.ResponsibilitiesBuild 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.Qualifications8+ 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.BenefitsYou will have the opportunity to own the DataOps strategy and the 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.Apply now!#J-18808-Ljbffr