Senior Data Platform Engineer

Ce que nous faisons

Chez Kenvue, nous réalisons le pouvoir extraordinaire des soins quotidiens. S'appuyant sur plus d'un siècle d'héritage et enraciné dans la science, nous sommes la maison de marques emblématiques - dont NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON'S® et BAND-AID® que vous connaissez et aimez déjà. La science est notre passion ; Le soin est notre talent.

Qui nous sommes

Notre équipe mondiale est composée de ~ 22 000 personnes brillantes avec une culture d'entreprise où chaque voix compte et chaque contribution est appréciée. Nous sommes passionnés par les idées, l'innovation et l'engagement à fournir les meilleurs produits à nos clients. Avec de l'expertise et de l'empathie, être un Kenvuer signifie avoir le pouvoir d'avoir un impact sur des millions de personnes chaque jour. Nous donnons la priorité aux personnes, nous nous soucions farouchement, nous gagnons la confiance grâce à la science et nous résolvons les problèmes avec courage - et nous vous offrons de brillantes opportunités ! Joignez-vous à nous pour façonner notre avenir et le vôtre. Pour plus d'informations, cliquez sur ici.

Role relève à :

Enterprise Integration Lead

Lieu :

Asia Pacific, India, Karnataka, Bangalore

Lieu de travail :

Hybride

Ce que tu vas faire

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

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