Senior Data Platform Engineer at Kenvue in Asia Pacific, India, Karnataka, Bangalore

Job description

• Senior Data Platform Engineer
• Senior Software Engineer - Data Platform Engineering
• 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.

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.

Requirements

• 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.
• 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
• 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
• 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

Skills

Required

• Databricks
• Snowflake
• Microsoft Fabric
• Delta Lake
• Data Lakehouse Architecture
• Kubernetes
• Docker
• Helm
• Kustomize
• Container Lifecycle Management
• Azure DevOps
• GitHub Actions

Preferred

• SnowPro Certification
• Microsoft Fabric Certification
• Certified Kubernetes Administrator (CKA)
• Terraform Associate Certification
• Apache Airflow
• Kafka
• Spark on Kubernetes
• Kyuubi