Lead Engineer, EDT Data & Analytics Cloud Engineering
Stryker (company site, opens in a new tab)5–7 yrsGurugramOn-siteDirect career pageEst. 18–30 LPA
Posted 17d ago
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Job description
Structured overview of role & requirements
About This Role
- Own design, build, and operation of Azure DevOps CI/CD pipelines for enterprise data & analytics platform.
- Manage Infrastructure as Code using Terraform for provisioning Azure and Databricks components with reliability and security focus.
- Lead platform operations including monitoring, incident response, performance tuning, and deploying data engineering workloads at scale.
Minimum Requirements
- Bachelor’s or master’s degree in computer science, Engineering, Information Systems, Business, or related technical discipline.
- 5-7 years experience designing, engineering, and supporting cloud-based data and analytics platforms.
- Strong hands-on expertise with Azure data services: Azure Databricks, Synapse Analytics, ADLS Gen2, Azure SQL, Azure Data Factory, Key Vault, Unity Catalog.
- Proficiency with Infrastructure as Code (Terraform) and Azure DevOps CI/CD pipelines for multi-environment deployments.
Ideal Candidate Profile
- Experienced in securing, governing, and automating scalable Azure data platforms following best practices for compliance and least-privilege access.
- Technically capable to troubleshoot platform issues, drive operational improvements, engage with multiple stakeholders, and document technical solutions.
- Comfortable operating in a cross-functional environment involving engineering, operations, security, and business teams, emphasizing automation and platform reliability.