Senior Data Platform Engineer Job Summary

Your role will be a Technology Lead, or Senior Technology Lead in the Cloud Engineering team. You will be responsible to be a part of the delivery of IT projects for our customers across the globe.

Responsibilities

- Architect and manage Databricks/Snowflake infrastructure on Azure and AWS, ensuring scalable, secure, and cost-effective deployments.
- Establish and enforce data governance frameworks (including access controls, lineage, and compliance) across cloud and on-premises environments.
- Design and implement DataOps and MLOps pipelines for automated data ingestion, transformation, model training, deployment, and monitoring.
- Automate infrastructure provisioning using Terraform, ARM Templates, or Bicep for Databricks/Snowflake workspaces, clusters, and supporting resources.
- Integrate Databricks/Snowflake with enterprise CI/CD pipelines (Azure DevOps, GitHub Actions, Jenkins, etc.) for code, data, and model lifecycle management.
- Implement monitoring, logging, and alerting for Databricks workloads using native and third-party tools (e.g., Azure Monitor, AWS CloudWatch, Datadog).
- Optimize Databricks cluster performance and cost, including autoscaling, spot instance usage, and job scheduling.
- Ensure security best practices: manage secrets, network isolation, encryption, and compliance with organizational and regulatory standards.
- Collaborate with data engineering, analytics, and ML teams to enable seamless integration and workflow automation.
- Drive adoption of DevSecOps practices: integrate security scanning and compliance checks into DataOps/MLOps pipelines.
- Lead incident response and root cause analysis for Databricks platform issues, ensuring high availability and reliability.
- Document architecture, processes,



and best practices for knowledge sharing and operational excellence.

Skills and attributes for success
- Expertise in Databricks/Snowflake administration, including workspace, cluster, and job management.
- Strong knowledge of cloud platforms(Azure, AWS), including networking, IAM, and cost management.
- Proficiency in Infrastructure as Code(Terraform, ARM, Bicep) and automation scripting (Python, Bash, PowerShell).
- Experience with CI/CD tools(Azure DevOps, GitHub Actions, Jenkins) and source control (Git).
- Deep understanding of DataOps and MLOps concepts, including orchestration, versioning, and monitoring.
- Familiarity with data governance tools and frameworks(Unity Catalog, Purview, AWS Lake Formation, etc.).
- Ability to design secure, compliant, and scalable data architecturesin multi-cloud environments.
- Strong troubleshooting and performance optimization skillsfor distributed data and ML workloads.
- Excellent communication and stakeholder management skills; ability to lead cross-functional teams and drive platform adoption.
- Experience with monitoring and observability tools(Datadog, Prometheus, Grafana, Azure Monitor).
- Knowledge of DevSecOps practicesand integrating security tools into data pipelines.
- Ability to mentor and upskill teamson Databricks, DataOps, and MLOps best practices.
- Strong analytical and problem-solving skills; ability to assess risks and propose mitigation strategies.
- Experience with regulatory compliance(GDPR, HIPAA,



etc.) in cloud data environments is a plus.
- Capability to identify software packages and solutions that could meet client solution requirements and develop requests for proposal (RFPs) from these vendors.Assist clients in the evaluation of the resulting proposals, including the package capabilities and fit to the requirements (business and technology), vendor proposals for pricing and support.
- Capability to design and developed AI infused DevOps and Platform Engineering framework.

Qualifications
- To qualify for the role, you must have
- BE/B.Tech/MCA with a sound industry experience of 4 to 8 years
- Cloud Computing knowledge in multi cloud environments (Azure, AWS)
- Hands-on experience with Databricks administrationon Azure and/or AWS, including workspace, cluster, and job management
- DevOps Setting up CI/CD pipeline using Azure DevOps,GitHub Actions, orGitLab CI
- Strong understanding of DataOps and MLOps practices, including orchestration, monitoring, and governance
- Hands-on experience withcontainerization, includingDocker &Kubernetes;(AKS/EKS/GKE)
- Scripting Knowledge on PowerShell, python, Groovy, Shell Scripting and cloud native CLIs
- Must be valuable in IAC tools such as Terraform or ARM or Bicep
- Must be good in Config Management Tools such as Ansible or Chef or Puppet
- Expertise in Golden Paths creation for end-to-end developer workflows.

Preferred Skills
- Microsoft Certified: DevOps Engineer Expert (AZ-400)
- Microsoft Certified: Designing Microsoft Azure Infrastructure Solutions (AZ-305)
- Microsoft Certified: Azure Solutions Architect Expert
- AWS Certified DevOps Engineer Professional
- AWS Certified Solutions Architect Associate
- Hashicorp Certified: Terraform Associates

📌 DE - Cloud - Senior Data Platform Engineer - G (Chennai)
🏢 EY
📍 Chennai