Senior Databricks Platform Engineer - Azure Cloud & Data Operations

SPARIX GLOBAL PRIVATE LIMITED
Posted on
Experience
6 - 10 yrs
Job Location
Noida, India
Vacancy
1
Designation
Azure Cloud Engineer
Job Type
Not specified

Job Description

Exp - 6 to 10 Years
Skills Required
Primary Skills
DatabricksAzure CloudDelta LakeUnity CatalogSparkAzure DevOpsGitHub
Job Description

Experience: 5+ years

Shift time: 2 PM - 11 PM IST

Location: Bangalore/Hyderabad

Tech Stack:

Databricks,
Azure Cloud,
Delta Lake,
Unity Catalog,
Spark,
Azure DevOps,
GitHub,
Key Responsibilities:

Support architecture and operational engineering across enterprise Databricks environments.
Design and maintain scalable Lakehouse, Delta Lake, and Unity Catalog solutions.
Optimize Spark workloads, cluster configurations, and platform performance.
Support integration of Databricks platforms with Azure-native ecosystems and enterprise applications.
Collaborate with platform and DevOps teams to align Databricks activities with existing CI/CD and automation standards.
Support governance, access management, monitoring, logging, and operational security practices.
Required Skills:

6+ years of experience within cloud, platform engineering, data engineering, or enterprise analytics ecosystems.
3+ years of hands-on experience supporting enterprise Databricks environments.
Strong experience with Delta Lake, Unity Catalog, Spark workloads, and cluster operations.
Experience with Azure cloud services and cloud-native platform concepts.
Familiarity with Azure DevOps, GitHub workflows, and CI/CD pipeline concepts

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