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

---

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.

---

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

---

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

---

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

---

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

---

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

---

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

---

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

---

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

---

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.