Senior Platform Engineer Ecolab · Bangalore · Platform & Infrastructure Pay not stated 6d ago

Devopsroles; Bengaluru; Hybrid; INR 1,600,000 - 2,200,000; Full time

Job summary

Devopsroles in Bengaluru (Hybrid) is seeking a Senior Platform Engineer with hands-on Snowflake and Databricks experience to support enterprise data platform operations. You will handle platform administration, security, governance, access management, automation, and production support across cloud-based data platforms.

The role involves managing Snowflake warehouses, Unity Catalog, jobs and workflows, optimizing costs, and collaborating with Data Engineering, Analytics, and Security teams to

Qualifications

• Bachelor’s degree in CS/IT/Engineering or related discipline.
• 5-7 years of platform engineering or data platform experience.
• Hands-on with Snowflake and Databricks required.
• Experience in security, governance, and access management preferred.

Responsibilities

• Administer Snowflake and Databricks platforms with HA and security.
• Manage user provisioning, RBAC, and access governance.
• Maintain Unity Catalog, jobs, workflows, and resource optimization.
• Troubleshoot incidents and ensure SLA-aligned resolutions.
• Support Data Engineering in ETL/ELT pipelines and analytics workloads.
• Develop automation using SQL, Python, APIs to improve ops.
• Collaborate with cross-functional teams on scalable data platform solutions.

Skills

Snowflake

Databricks

Unity Catalog

SQL

Python

RBAC & Access Governance

Git / Azure DevOps

Production Support

Education

Bachelor’s degree in Computer Science, IT, Engineering, or related discipline

Tools

Git

Azure DevOps

Terraform

CI/CD

Azure

Job description

Senior Platform Engineer

Experience

5-7 Years

Location

Bangalore (Hybrid)

Job Summary

We are looking for a Platform Engineer with hands-on experience in Snowflake and Databricks to support enterprise data platform operations. The candidate will be responsible for platform administration, security, governance, access management, automation, troubleshooting, and production support across cloud-based data platforms.

Key Responsibilities

• Administer and support Snowflake and Databricks platforms, ensuring high availability, security, and operational excellence.
• Manage user provisioning, RBAC, access governance, and permissions across Snowflake, Databricks, and integrated enterprise systems.
• Administer Snowflake warehouses, databases, schemas, roles and Databricks workspaces, clusters, SQL Warehouses, Unity Catalog, jobs, and workflows.
• Monitor platform performance, resource utilization, and costs, and proactively identify opportunities for optimization.
• Troubleshoot and resolve platform-related incidents, perform root cause analysis, and ensure timely issue resolution within SLA commitments.
• Support Data Engineering teams in deploying, maintaining, and troubleshooting ETL/ELT pipelines and analytics workloads.
• Implement and maintain security, compliance, audit, and governance controls across enterprise data platforms.
• Implement and support end-to-end Disaster Recovery on Databricks and Snowflake platform
• Develop automation solutions using SQL, Python, APIs, and scripting to improve operational efficiency and reduce manual effort.
• Support CI/CD, release management, and deployment activities using Git, Azure DevOps, and related tools.
• Collaborate with Data Engineering, Analytics, Security, Infrastructure, and Business teams to deliver scalable, reliable, and secure data platform solutions

Required Technical Skills

• Snowflake
• Databricks
• Unity Catalog
• SQL
• Python
• RBAC & Access Governance
• Git / Azure DevOps
• Production Support

Good to Have

• Azure
• Spark
• CI/CD
• Terraform

Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related discipline.
• 3-5 years of experience in Platform Engineering, Data Platform Administration, Data Engineering, or related fields.

Key Competencies

• Strong problem-solving and analytical skills
• Excellent communication and stakeholder management
• Ability to work independently and take ownership
• Strong collaboration and teamwork skills
• Adaptability and continuous learning mindset
• Ability to perform in a fast-paced production support environment