Senior Data Platform Engineer

Kenvue

Bengaluru

Hybrid

INR 1,800,000 - 2,400,000

Full time

4 days ago
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Job summary

Kenvue is seeking a Senior Software Engineer to join our Data Platform Engineering team in a hybrid, Asia Pacific footprint with India operations. You will build and operate enterprise-scale data platforms powered by Databricks, Snowflake, Fabric, Kubernetes, and cloud-native tech.

You'll own platform reliability, automation, and governance, championing IaC, CI/CD, and self-service capabilities for analytics squads while collaborating across DevOps, security, and platform teams.

Qualifications

  • Bachelor's degree in CS/IT or related field.
  • 5-7 years of experience in Platform Engineering, DevOps, Cloud, or Data Platform Operations.
  • Strong experience with Databricks, Snowflake, or Microsoft Fabric.
  • Production-grade Kubernetes experience and IaC proficiency.
  • Scripting in Python, PowerShell, Bash, or equivalent; agile/DevOps mindset.

Responsibilities

  • Design, implement, and support enterprise data platforms based on Databricks, Snowflake, and Fabric.
  • Build self-service onboarding, provisioning, monitoring, and governance capabilities.
  • Standardize deployment patterns and manage multi-environment strategies.
  • Develop CI/CD pipelines and automate provisioning of cloud/platform resources.
  • Establish monitoring, reliability, and incident remediation across platforms.

Skills

CI/CD
Infrastructure as Code
DevOps
Kubernetes
Python scripting
Automation
Cloud experience

Education

Bachelor's degree in Computer Science, Information Systems, Engineering, or related field

Tools

Databricks
Snowflake
Microsoft Fabric
Terraform
Bicep
ARM Templates
Azure DevOps
GitHub Actions
Kubernetes
Jenkins
OpenTelemetry

Job description

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.

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,

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.

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