Senior Databricks Platform Engineer – Azure Cloud & Data Operations

We are hiring a talented  Senior Databricks Platform Engineer – Azure Cloud & Data Operations   to join our team. If you're excited to be part of a winning team, Cirrus Labs
(  http://(Use the "Apply for this Job" box below).  ) is a great place to grow your career.

Experience:

6+ years
Shift time: 2 PM - 11 PM IST

Location:

Bangalore/Hyderabad
Engagement Domain Focus:
Databricks, Azure Cloud, Enterprise Data Platforms, Platform Engineering, Dev Ops Enablement
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- About the Opportunity
Our client is undergoing a large-scale enterprise modernization initiative focused on Azure-native infrastructure, platform engineering, automation, and modernization of data-intensive application ecosystems.
As part of this transformation, multiple calculation-heavy and operationally critical applications are being integrated into a growing Databricks-centered enterprise data platform spanning:

· Azure cloud services

· AKS and containerized platforms

· Git Hub and CI/CD ecosystems

· Enterprise automation and analytics environments
We are seeking a Senior Databricks Platform Engineer to support architecture, operational engineering, platform enablement, and modernization activities across this evolving environment.
This role blends:

· Databricks platform expertise

· Cloud infrastructure awareness

· Dev Ops-aligned engineering

· operational platform support
The ideal candidate understands how Databricks workloads, APIs, pipelines, storage layers, and operational processes integrate within broader enterprise cloud ecosystems.
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- Role Overview
The Senior Databricks Platform Engineer will support the design, operational enablement, modernization, and ongoing support of enterprise Databricks platforms and associated data processing environments.
This engineer will work closely with:

· Cloud platform teams

· Dev Ops organizations

· Infrastructure engineering teams

· Application modernization groups

· data and analytics stakeholders
The role requires strong awareness of how Databricks modernization activities impact:

· Existing CI/CD pipelines

· Automation frameworks

· Operational governance

· Enterprise cloud platform standards
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- Key Responsibilities
Databricks Platform Engineering & Operations

· Support architecture and operational engineering across enterprise Databricks environments

· Design and maintain scalable Lakehouse, Delta Lake, and Unity Catalog solutions

· Support administration of:
o Databricks Work spaces
o Jobs
o Notebooks
o Clusters

· Optimize Spark workloads, cluster configurations, and platform performance

· Support batch and streaming data processing workloads

· Assist with multi-environment platform management across Dev, QA, and Production
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- Platform Integration & Dev Ops Alignment

· Support integration of Databricks platforms with Azure-native ecosystems and enterprise applications

· Work across integrations involving:
o APIs
o Azure Storage Accounts
o Data Lakes
o reporting and analytics platforms

· Collaborate with platform and Dev Ops teams to align Databricks activities with existing CI/CD and automation standards

· Support deployment workflows utilizing:
o Git Hub
o Azure Dev Ops
o Infrastructure as Code frameworks

· Help ensure modernization activities do not disrupt existing automated deployment pipelines and operational processes
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- Governance, Reliability & Platform Support

· Support governance, access management, monitoring, logging, and operational security practices

· Assist with implementation of:
o RBAC
o lineage
o encryption
o platform governance controls

· Participate in troubleshooting, operational support, and root cause analysis activities

· Contribute to documentation, operational standards, and platform best practices
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- Required Qualifications

· 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:
o Delta Lake
o Unity Catalog
o Spark workloads
o cluster operations
o Databricks Work spaces

· Experience with Azure cloud services and cloud-native platform concepts

· Familiarity with:
o Azure Dev Ops
o Git Hub workflows
o CI/CD pipeline concepts
o deployment automation

· Experience supporting APIs, distributed…