Senior Databricks Platform Engineer Azure Cloud & Data Operations
You have an entrepreneurial spirit. You enjoy working as a part of well-knit teams. You value the team over the individual. You welcome diversity at work and within the greater community. You aren't afraid to take risks. You appreciate a growth path with your leadership team that journeys how you can grow inside and outside of the organization. You thrive upon continuing education programs that your company sponsors to strengthen your skills and for you to become a thought leader ahead of the industry curve.
You are excited about creating change because your skills can help the greater good of every customer, industry and community. 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, CirrusLabs
( http://www.cirruslabs.io ) 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, DevOps 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
GitHub 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
DevOps-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
DevOps 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 Workspaces
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 & DevOps 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 DevOps teams to align Databricks activities with existing CI/CD and automation standards
Support deployment workflows utilizing:
o GitHub
o Azure DevOps
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 Workspaces
Experience with Azure cloud services and cloud-native platform concepts
Familiarity with:
o Azure DevOps
o GitHub workflows
o CI/CD pipeline concepts
o deployment automation
Experience supporting APIs, distributed application integrations, and enterprise data platforms
Strong troubleshooting and operational support capabilities
Strong communication and stakeholder collaboration skills
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Preferred Qualifications
Experience with:
o PySpark
o Python
o SQL
o Spark SQL
o Scala
Familiarity with:
o AKS/Kubernetes
o Terraform
o Bicep
o Infrastructure as Code practices
Experience with:
o Azure Data Lake
o Event Hub
o streaming architectures
o enterprise analytics environments
Familiarity with monitoring and observability platforms such as:
o Azure Monitor
o Datadog
Exposure to enterprise modernization and cloud migration initiatives
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What This Role Is
A hands-on enterprise Databricks platform engineering role
A modernization-focused engineering opportunity within a large Azure ecosystem
A hybrid role spanning cloud integration, operational engineering, and DevOps-aware platform support
A collaborative engineering role supporting scalable enterprise data and analytics platforms
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What This Role Is Not
A pure data scientist or analytics-only role
A narrowly scoped ETL development position
A traditional infrastructure administration role
A short-term migration-only engagement
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Why Work With Us
You will be joining a globally recognized consulting and technology organization supporting enterprise-scale transformation initiatives across:
Azure cloud platforms
platform engineering
DevOps and automation
large-scale data modernization
Analytics and AI-enabled ecosystems
This role provides the opportunity to help shape and support modern enterprise data platform operations within a highly collaborative global engineering environment.
