Senior DevOps Engineer

We are brand builders who focus our passion and creativity to build Calvin Klein and TOMMY HILFIGER into the most desirable lifestyle brands in the world and at the same time position PVH as one of the best-performing brand groups in our sector. Guided by our values and enabled by our scale and global reach, we are driving fashion forward for good, as one team with one vision and one plan. That’s the Power of Us, that’s the Power of PVH+.       One of PVH’s greatest strengths is our people. Our collective desire is to create a workplace environment where every individual is valued, and every voice is heard, and we are committed to fostering an inclusive and diverse community of associates with a strong sense of belonging. Learn more about Inclusion & Diversity at PVH here .

SUMMARY: We are looking for a Senior DevOps Engineer to join the Enterprise Data Platform team and help mature the engineering, automation, deployment, monitoring, and operational capabilities of our global data platform. The Enterprise Data Platform is a strategic data foundation supporting analytics, reporting, data products, and business intelligence across multiple regions and business domains. The platform is moving toward a modern AWS-first data architecture, with Databricks, Delta Lake, Unity Catalog, AWS S3, IAM, KMS, PrivateLink, Terraform, GitLab CI/CD, and Databricks Asset Bundles as key technology components. This role will be responsible for improving how EDP engineering teams build, test, deploy, monitor, and operate data platform solutions across environments. You will work closely with data engineers, architects, platform teams, security, cloud infrastructure, AMS support teams, and product stakeholders to create reliable, secure, automated, and scalable DevOps practices for EDP.   PRIMARY RESPONSIBILITIES/ACCOUNTABILITIES OF THE JOB:   Area Responsibilities DevOps & CI/CD Design, build, and maintain GitLab CI/CD pipelines for EDP data engineering assets, Databricks jobs, workflows, notebooks, SQL assets, and platform configurations. Infrastructure as Code Build, maintain, and improve Terraform modules for AWS infrastructure, Databricks workspace configuration, networking, IAM, storage, and platform components. Databricks Deployment Automation Implement and standardize Databricks Asset Bundles (DAB) for deploying Databricks workflows, jobs, notebooks, permissions, and environment-specific configurations. AWS Platform Engineering Support AWS-native platform components including S3, IAM roles, KMS, STS, VPCs, subnets, security groups, route tables, VPC endpoints, PrivateLink, and cross-account access patterns. Release Management Support structured release governance across Dev, QA, QA2, Prod, and DR environments, including release tagging, deployment validation, rollback planning, and production readiness checks. Monitoring & Observability Improve monitoring and alerting for Databricks jobs, workflows, pipelines, SQL warehouses, batch SLAs, cloud services, and platform health using Databricks system tables, cloud logs, dashboards, and alerts. Security & Access Controls Automate and govern least-privilege access using IAM roles, service principals, Unity Catalog permissions, storage access controls, secrets, KMS encryption, and audit logging. Network & Connectivity Support secure connectivity patterns involving Databricks on AWS, S3, PrivateLink, VPC endpoints, enterprise network inspection, DNS, controlled ingress/egress, and cross-cloud transition scenarios. Operational Excellence Partner with AMS and engineering teams to improve incident triage, root cause analysis, batch monitoring, SLA visibility, production support handoffs, and operational runbooks. Engineering Standards Help define and enforce standards for GitLab workflows, merge request checks, deployment approvals, unit testing, release validation, and reusable deployment patterns. Platform Modernization Contribute to EDP’s AWS migration and