Sr AI engineer-Data Databricks Platform
Ecolab (company site, opens in a new tab)5+ yrsBengaluruOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, configure, and maintain Databricks enterprise Data & AI platform including managing Unity Catalog, clusters, compute policies, and access controls.
- Develop and integrate scalable data pipelines with Databricks Lakehouse architecture, supporting batch, streaming, and API integrations.
- Automate platform deployment, CI/CD pipelines, security governance, monitoring, and operational reliability to enable scalable DataOps, MLOps, and AI/ML workloads.
Minimum Requirements
- Bachelor's or master’s degree in Computer Science, Engineering, IT, or related field.
- 5+ years experience in Data, Platform, or Cloud Engineering; 3+ years hands-on with Databricks Lakehouse Platform.
- Strong skills in Delta Lake, Unity Catalog, MLflow, Databricks Workflows, Structured Streaming, PySpark, Spark SQL, Python, and SQL.
- Experience with cloud platforms (Azure, AWS, GCP), DevOps tools including Terraform, GitHub Actions or Azure DevOps for Infrastructure as Code and CI/CD automation.
Ideal Candidate Profile
- Experienced engineer capable of full end-to-end ownership of Databricks platform engineering, integration, automation, security, and operationalization.
- Familiar with enterprise Data & AI platform requirements including scalable DataOps, MLOps, and AI enablement with governance and compliance.
- Comfortable collaborating cross-functionally with architects, data scientists, AI engineers, security teams, and mentoring junior engineers.