Job Title : Cloud Data Platform Engineer

Experience : 6-12 Years

Location : Pan India / Hybrid (as per business requirement)

Role Summary :

We are hiring experienced Cloud Data Platform Engineers with strong hands-on expertise in Azure, Databricks, and Microsoft Fabric. This is a pure engineering role focused on architecting, building, automating, and operating scalable, secure, reliable, and cost-efficient enterprise data platforms.

The ideal candidate will have deep experience in Azure data services, Infrastructure-as-Code (IaC), CI/CD automation, platform reliability (SRE), and FinOps cost governance. This role requires strong engineering fundamentals, operational excellence mindset, and platform ownership capability.

Key Responsibilities :

1. Cloud Data Platform Engineering

- Design, build, and manage Azure-based modern data platforms.

- Administer and optimize Azure data services including ADLS, ADF, Synapse, Key Vault, Virtual Networks, and networking components.

- Configure and manage Databricks environments (clusters, jobs, Delta Lake, Unity Catalog).

- Deploy and operate Microsoft Fabric components such as Lakehouse, Data Pipelines, and Warehouses.

2. Infrastructure as Code & Automation :

- Develop and maintain Infrastructure-as-Code (IaC) solutions using Terraform or Bicep.

- Build and maintain CI/CD pipelines using Azure DevOps or GitHub Actions.

- Automate platform provisioning, configuration management, and deployment processes.

- Ensure repeatable, scalable, and standardized platform deployments.

3. Platform Reliability & SRE Practices :

- Implement monitoring, alerting, and observability frameworks.

- Define SLAs, SLOs, and reliability metrics.

- Drive incident management, root cause analysis (RCA), and preventive measures.

- Improve platform resilience, availability, and performance.

4. Security & Governance :

- Implement enterprise-grade security controls including RBAC, ACLs, and Unity Catalog governance.

- Enforce zero-trust principles and secure network architecture.

- Ensure compliance with enterprise and regulatory standards.

- Manage secrets and identity securely using Azure Key Vault.

5. FinOps & Cost Optimization :

- Monitor and optimize cloud spend across Azure and Databricks environments.

- Implement cost allocation, tagging strategies, and budgeting frameworks.

- Drive capacity planning and performance-cost optimization strategies.

Required Skills & Qualifications :

- 6-12 years of experience in Cloud Data Engineering, Platform Engineering, DataOps, or SRE roles.

- Strong expertise in Azure Data Services (ADLS, ADF, Synapse, Networking, Security).

- Hands-on experience with Databricks (Delta Lake, Unity Catalog, cluster optimization).

- Experience deploying and managing Microsoft Fabric workloads.

- Strong proficiency in Terraform or Bicep for infrastructure automation.

- Experience building CI/CD pipelines using Azure DevOps or GitHub.

- Programming skills in Python, SQL, PySpark, and scripting (PowerShell/Bash).

- Experience implementing SRE practices and monitoring frameworks.

- Exposure to FinOps practices and cost optimization strategies.

Nice to Have :

- Azure / Databricks / DevOps / FinOps certifications.

- Experience in regulated industries such as BFSI, Healthcare, or Retail.

- Understanding of zero-trust architecture and enterprise security frameworks.

- Exposure to multi-cloud or hybrid cloud environments.

Key Competencies :

- Strong problem-solving and analytical mindset

- Platform ownership mentality

- Automation-first approach

- Operational excellence and reliability mindset

- Strong communication and stakeholder collaboration skills