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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, Bangalore location, mid-level generalist platform role increases qualified applicant competition.
Platform engineering skills transfer across industries, but Azure/Databricks/Snowflake focus creates moderate specificity.
Explicit 5-7 years plus mandatory Databricks, Snowflake, Kubernetes, and IaC skills means high shortlisting strictness.
Job Description
Structured overview of role & requirementsAbout This Role
Design, implement, and maintain enterprise-scale data platforms using Databricks, Snowflake, Microsoft Fabric, and Kubernetes.
Build automation frameworks for platform deployment, self-service onboarding, monitoring, governance, and operational reliability in cloud environments.
Ensure platform security, cost optimization, and production support including incident remediation and compliance adherence.
Minimum 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 with Databricks, Snowflake, or Microsoft Fabric platforms and Kubernetes in production.
Hands-on skills in Infrastructure as Code (Terraform, Bicep), CI/CD pipelines, scripting (Python, PowerShell, Bash), and cloud platforms (Microsoft Azure preferred).
Ideal Candidate Profile
Experienced in managing and automating multi-environment enterprise data platforms at scale with a focus on reliability and operational excellence.
Proficient in DevOps, GitOps practices, infrastructure automation, and cloud-native architectures likely within Agile delivery models.
Holds or is comfortable pursuing relevant professional certifications such as Databricks Certified Data Engineer, SnowPro, CKA, or Terraform Associate.