Senior Data Platform Engineer

Job description

Kenvue is currently recruiting for a: Senior Data Platform Engineer What we do At Kenvue , we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent. Who We Are Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information , click here . Role reports to: Enterprise Integration Lead Location: Asia Pacific, India, Karnataka, Bangalore Work Location: Hybrid What you will do Senior Software Engineer - Data Platform Engineering Role Overview We are seeking a Senior Software Engineer to build, automate, and operate enterprise-scale data platforms powered by Databricks, Snowflake, Microsoft Fabric, Kubernetes, and cloud-native technologies . This role focuses on platform engineering, DevOps automation, reliability, observability, security, and self-service enablement for data engineering and analytics teams. The ideal candidate will have strong experience managing modern data platforms, implementing Infrastructure as Code, automating deployments, optimizing platform performance, and ensuring operational excellence across cloud-based environments. Key Responsibilities Data Platform Engineering Design, implement, and support enterprise data platforms based on Databricks, Snowflake, and Microsoft Fabric. Build reusable platform capabilities enabling self-service onboarding, provisioning, monitoring, and governance. Standardize platform architecture, deployment patterns, and operational processes. Support multi-environment strategies (Development, QA, Production). Kubernetes & Cloud Infrastructure Build and manage Kubernetes-based platform services supporting data processing workloads. Deploy and operate containerized applications and platform services using Kubernetes. Implement auto-scaling, high availability, disaster recovery, and resiliency patterns. Manage infrastructure through Infrastructure as Code (Terraform, Bicep, Helm). DevOps & Platform Automation Develop CI/CD pipelines for platform deployment and configuration management. Automate provisioning of Databricks workspaces, Snowflake objects, Fabric resources, and Kubernetes infrastructure. Implement GitOps and automated release management practices. Build platform automation frameworks to reduce manual operational effort. Reliability Engineering & Operations Establish monitoring, observability, and alerting across platform components. Drive platform reliability, stability, and performance improvements. Perform root cause analysis and remediation of platform incidents. Support production operations and critical issue resolution. Security & Governance Implement platform security controls, RBAC, secrets management, and network security. Ensure compliance with enterprise governance standards. Support metadata management, auditing, lineage, and monitoring controls. Partner with cybersecurity teams to address platform vulnerabilities and risks. Cost Optimization & Capacity Management Optimize Databricks clusters, Snowflake warehouses, Fabric capacities, and Kubernetes resources. Monitor platform utilization and recommend cost-saving opportunities. Implement FinOps practices and governance guardrails. Required Qualifications Bachelor's degree in Computer Science, Information Systems, Engineering, or related field. 5-7 years of experience in Platform Engineering, DevOps, Cloud Engineering, or Data Platform Operations. Strong experience supporting Databricks, Snowflake, or Microsoft Fabric platforms. Experience managing Kubernetes-based workloads in production environments. Hands-on experience with CI/CD, Infrastructure as Code, and cloud-native architectures. Strong scripting and automation experience using Python, PowerShell, Bash, or similar languages. Experience working within Agile and DevOps delivery models. Required Technical Skills Data Platforms Databricks Snowflake Microsoft Fabric Delta Lake Data Lakehouse Architecture Kubernetes & Containers Kubernetes Docker Helm Kustomize Container Lifecycle Management DevOps & Automation Azure DevOps GitHub Actions Jenkins Git CI/CD Pipelines Infrastructure as Code Terraform Bicep ARM Templates Infrastructure Automation Cloud Platforms Microsoft Azure (Preferred) AWS or GCP Exposure Monitoring & Observability Prometheus Grafana Azure Monitor Log Analytics OpenTelemetry Platform Security RBAC Azure AD / Entra ID Secret Management Key Vault Security Automation Programming Python SQL PowerShell Bash Preferred Qualifications Databricks Certified Data Engineer or Platform Administrator. SnowPro Certification. Microsoft Fabric Certification. Certified Kubernetes Administrator (CKA). Terraform Associate Certification. Experience with: Apache Airflow Kafka Spark on Kubernetes Kyuubi GitOps ArgoCD Service Mesh Platform SRE Practices If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.