Senior DevOps Engineer

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 modernization roadmap, including platform automation, environment consistency, scalable deployment patterns, and improved operational resilience.

SUPERVISORY RESPONSIBILITIES

• Direct: NA

BUDGETARY RESPONSIBILITIES

• Ø RESOURCEFULNESS:
• GitLab CI/CD pipeline design and implementation
• Terraform modules for AWS and Databricks infrastructure
• Databricks Asset Bundles for Databricks deployment automation
• Databricks workspace configuration and environment promotion
• Dev, QA, QA2, Prod, and DR deployment patterns
• AWS S3, IAM, KMS, STS, VPC endpoints, PrivateLink, and cross-account access
• Databricks Unity Catalog permissions and governance automation
• Databricks workflows, jobs, notebooks, SQL warehouses, and cluster policies
• Release tagging, deployment approvals, rollback procedures, and release validation
• Monitoring for Databricks jobs, workflows, batch SLAs, and platform usage
• Operational runbooks for AMS, platform support, and engineering teams
• Secure access patterns for data ingestion, data products, and enterprise integrations

ENVIRONMENT

QUALIFICATIONS & EXPERIENCE

• Bachelor’s degree or equivalent experience in Computer Science, Information Technology, Engineering, Data Engineering, or a related field.
• 6+ years of DevOps, platform engineering, cloud engineering, or data platform engineering experience .
• Strong hands-on experience with GitLab CI/CD .
• Strong hands-on experience with Terraform for infrastructure automation.
• Experience with AWS cloud infrastructure , especially S3, IAM, KMS, STS, VPC, subnets, security groups, VPC endpoints, and PrivateLink.
• Experience with Databricks platform engineering or deployment automation .
• Experience implementing or supporting Databricks Asset Bundles , or similar Databricks deployment frameworks.
• Good understanding of Databricks workflows, jobs, clusters, notebooks, SQL warehouses, permissions, and workspace configuration .
• Good understanding of Unity Catalog , data access controls, external locations, storage credentials, and governance concepts.
• Strong scripting experience using Python, Bash, or similar scripting languages .
• Good understanding of SQL, Spark, Delta Lake, and modern data platform concepts .
• Experience supporting production platforms with monitoring, alerting, logging, incident management, and operational runbooks.
• Strong troubleshooting skills across cloud, network, security, CI/CD, and data platform layers.
• Experience working in Agile delivery models with globally distributed engineering teams.

Preferred Experience

Key Skills

• Skill Area
• Expected Capability
• Primary Cloud
• AWS, S3, IAM, KMS, STS, VPC, PrivateLink, VPC endpoints
• DevOps Platform
• GitLab CI/CD, merge requests, protected branches, approvals, release tagging
• Infrastructure as Code
• Terraform modules, state management, reusable IaC patterns
• Databricks Deployment
• Databricks Asset Bundles, workflows, jobs, notebooks, SQL assets
• Data Platform
• Databricks, Delta Lake, Spark, Unity Catalog, SQL Warehouses
• Security
• IAM roles, service principals, KMS, secrets, access controls, auditability
• Monitoring
• Databricks system tables, cloud logs, dashboards, alerts, SLA tracking
• Scripting
• Python, Bash, SQL
• Operations
• Incident triage, RCA, runbooks, release controls, production support
• Ways of Working
• Agile delivery, documentation, cross-functional collaboration, ownership

You Are

Success in This Role Looks Like

What We Offer

• Opportunity to work on a strategic global Enterprise Data Platform.
• Exposure to modern AWS-first data platform architecture with Databricks at the core.
• Opportunity to contribute to a major cloud migration and platform modernization journey.
• A collaborative, international technology environment.
• High visibility across data engineering, architecture, security, infrastructure, and analytics teams.
• Space to drive automation, improve engineering maturity, and shape DevOps standards for the platform.
• PVH Corp. or its subsidiary ("PVH") is an equal opportunity employer and considers all applicants for employment on the basis of their individual capabilities and qualifications without regard to race, ethnicity, color, sex, gender identity or expression, age, religion, national origin, citizenship status, sexual orientation, genetic information, physical or mental disability, military status or any other characteristic protected under federal, state or local law. In addition to complying with all applicable laws, PVH is also committed to ensuring that all current and future PVH associates are compensated solely on job-related factors such as skill, ability, educational background, work quality, experience and potential.