DE - Cloud - Senior Data Platform Engineer - GDSN02

The opportunity

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.

Your key 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 architectures in multi-cloud environments.
• Strong troubleshooting and performance optimization skills for 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 practices and integrating security tools into data pipelines.
• Ability to mentor and upskill teams on 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 (RFP’s) 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.

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 administration on Azure and/or AWS, including workspace, cluster, and job management
• DevOps – Setting up CI/CD pipeline using Azure DevOps, GitHub Actions, or GitLab CI
•  Strong understanding of DataOps and MLOps practices, including orchestration, monitoring, and governance
• Hands-on experience with containerization, including Docker & Kubernetes (AKS/EKS/GKE)
• Scripting Knowledge on PowerShell, python, Groovy, Shell Scripting and cloud native CLIs
• Must be good 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
• Certified Kubernetes Administrator (CKA)
• GitHub Actions
• Github Copilot
• Good to have knowledge in Terraform Cloud, Ansible Tower

Your people responsibilities

• Foster teamwork and lead by example
• Participating in the organization-wide people initiatives
• Ability to travel in accordance with client and other job requirements
• Excellent written and oral communication skills; writing, publishing, and conference-level presentation skills a plus

Technologies and Tools

• Cloud platform – Azure,  AWS
• SDLC Methodologies: Agile /Scrum
• Version Control Tools – GitHub/ Bitbucket/GitLab
• CI/CD Automation Tools – Azure DevOps/ Bamboo/ Team City/ Harness/ Octopus
• Container Management Tools – Docker/Kubernetes/Docker Swarm
• Application Performance Management Tools – Prometheus/ Dynatrace/ AppDynamics
• Monitoring Tools – Splunk/ Datadog/ Grafana
• IAC Tools – Terraform/ARM Templates/ Bicep
• Config Management Tools – Chef/ puppet/ Ansible
• Test Automation Tools – Selenium/Cucumber
• Artifact Management Tools – Jfrog Artifactory/Nexus/CloudRepo/Azure Artifactory
• Scripting - Python/Groovy/PowerShell/Shell Scripting
• SAST/ DAST: SonarQube / Veracode/ Fortify
• GitOps Tool – Argo CD/ Flux CD
• GenAI Technology – Chat GPT, OpenAI

What we look for

 

• Has successfully demonstrated CI/CD Automation skills and technologies during many relevant projects
• Strong experience in the use of DevOps Tools and technologies, including container technologies.
• Proven experience in Infrastructure Automation (IAC Tools + Config Mgmt. Tool) and experience in Application Automation using Azure DevOps
• Working experience in Azure and strong knowledge in cloud Architecture strategy.
• Good Exposure in Cloud and Container Monitoring and logging and troubleshooting.
• Strong understanding of Cloud related concepts and technologies, and maintains an in-depth knowledge of the area
• Experience designing and conducting research and experiments with recently developed technologies

What we offer</