Platform Engineer – Snowflake & Databricks
At a glance
Mid-level Data Engineering role at Ecolab. Bangalore · full-time.
Pay not stated Data Engineering salary
dataroles summary, based on the employer's posting.
What you'll do
- Run Snowflake and Databricks operations, maintaining platform availability and handling administration and production support
- Control user access across both platforms and connected systems, including provisioning, roles, permissions and governance
- Track performance, resource use and costs, then address platform issues and investigate their root causes
- Help data engineering teams keep ETL/ELT pipelines and analytics workloads running, and maintain recovery, security and audit controls
- Automate routine platform work with SQL, Python, APIs or scripts, and assist with Git and Azure DevOps releases
What you bring
- Three to five years in platform engineering, data platform administration, data engineering or a related area
- Hands-on capability with Snowflake, Databricks, SQL, Python, Unity Catalog and access governance
- A bachelor's degree in computer science, information technology, engineering or a related discipline
Who this fits
This role suits a mid-level platform engineer who can work independently, troubleshoot production issues and coordinate with data, analytics, security, infrastructure and business teams. The role is based in Bangalore, India.
From the employer
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
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