Senior Engineer EDT Data And Analytics Cloud Engineering

Stryker; Gurugram District; Hybrid; INR 1,400,000 - 1,900,000; Full time

Job summary

Stryker is seeking a Senior Engineer, EDT Data & Analytics Cloud Engineering to join our hybrid work team. You will optimize the Azure-based data & analytics platform, automate CI/CD, and implement IaC to ensure scalable, secure, and reliable cloud solutions for global data teams.

You will partner with Data Platform and Product teams to operate Databricks workloads, govern access with RBAC, monitor performance, and drive improvements across pipelines, security, and reliability in a fast-paced

Qualifications

• 2-5 years of cloud engineering, data warehousing, or modern data & analytics platforms.
• Hands-on with Azure data tech: Databricks, Synapse, ADLS Gen2, Azure SQL, Data Factory, Key Vault, Unity Catalog.
• Experience implementing Azure platform security, governance, and data service best practices.
• Proficiency in Azure DevOps and CI/CD pipeline management across environments.
• Experience with Terraform IaC to provision and manage cloud infrastructure.
• Experience monitoring, tuning, incident management, and root-cause analysis for cloud data platforms.
• Strong communication and collaboration across engineering, security, and business teams.

Responsibilities

• Build and maintain Azure DevOps pipelines for CI/CD across dev, test, and prod.
• Automate deployment and provide reliable workflow management with blue/green promotions.
• Implement and maintain IaC using Terraform across environments.
• Manage platform security, RBAC, and access controls for Azure data services.
• Monitor and improve platform reliability, performance, and incident response.
• Collaborate with Data Platform and Data Product teams to operationalize data pipelines and workloads Databricks.

Skills

Azure cloud engineering

CI/CD pipelines

DevOps automation

Data platform monitoring

Troubleshooting

Education

Bachelor’s or Master’s in CS/Engineering/IS/related

Tools

Terraform

Azure DevOps

Azure Data Factory

Databricks

Synapse Analytics

Unity Catalog

Key Vault

Job description

Job Description:

Work Flexibility: Hybrid

Senior Engineer, EDT Data & Analytics Cloud Engineering

The Senior Cloud Platform Engineer supports the operational excellence, security, and reliability of the enterprise data & analytics platform on Azure. The role combines platform operations, DevOps automation, and Infrastructure as Code across the core stack - Azure Databricks, Synapse, ADLS Gen2, Azure SQL, Azure Data Factory, Key Vault, and Unity Catalog - with a reliability-engineering mindset: automate repeatable work, apply security best practices by default, and help keep the platform highly available for global data engineering and analytics teams.

What you will do:

DevOps Pipeline Management & CI/CD

• Build and maintain Azure DevOps pipelines for CI/CD, automating build, test, and deployment across development, testing, and production environments.
• Support high service availability through solid workflow management, smooth promotion processes, and efficient pipeline operations.

Infrastructure as Code & Environment Provisioning

• Implement and maintain platform infrastructure as code using Terraform, ensuring consistent, repeatable provisioning and configuration across environments.
• Provision and maintain environments — workspaces, compute, storage, networking, and access — using automated IaC processes, and help identify configuration drift.

Platform Security & Access Management

• Support platform security alongside development and operations teams — implementing RBAC, access controls, and security configurations across Azure Data Factory, Databricks, Synapse, Azure SQL, ADLS Gen2, Key Vault, and Unity Catalog.
• Apply Azure data service security best practices, including secrets management, identity integration, and least-privilege access.

Platform Operations & Reliability Engineering

• Contribute to platform monitoring, alerting, performance tuning, and incident response, with a focus on root-cause analysis and preventive fixes.
• Monitor integration runtimes and platform services, troubleshooting pipeline and runtime issues to help protect SLAs.

Data Engineering Operations

• Partner with Data Platform and Data Product teams to build and operationalize data pipelines, orchestration, and Databricks workloads.

What you need:

• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Systems, Business, or a related technical field, with 2-5 years of experience in cloud engineering, data warehousing, or modern data & analytics platforms.
• Strong hands-on expertise with Azure data technologies, including Azure Databricks, Synapse Analytics, ADLS Gen2, Azure SQL, Azure Data Factory, Key Vault, and Unity Catalog.
• Proven experience implementing Azure platform security, governance, and data service best practices to deliver secure, scalable, and reliable cloud solutions.
• Proficiency in Azure DevOps and CI/CD pipeline management, with experience automating deployments and releases across multiple environments.
• Working knowledge of Infrastructure as Code (IaC) using Terraform to provision, manage, and standardize cloud infrastructure.
• Experience monitoring and optimizing cloud data platforms, including alerting, performance tuning, incident management, and root cause analysis.
• Strong analytical, troubleshooting, and problem-solving capabilities, with the ability to identify patterns, resolve complex technical issues, and drive continuous improvement.
• Excellent communication and collaboration skills, with a proactive mindset for ownership, automation, and process optimization while partnering effectively across engineering, operations, security, and business teams.
• Cloud Engineering certifications on Azure/Databricks platform is a plus.

Travel Percentage: None