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, 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.