Lead Engineer, EDT Data & Analytics Cloud Engineering

Stryker Corporation; Gurugram District; Hybrid; INR 1,800,000 - 2,800,000; Full time

Job summary

Stryker Corporation in Gurugram, India is seeking a Lead Cloud Platform Engineer to drive Azure Databricks, Synapse, and related services with a reliability mindset. You will own Terraform IaC, CI/CD pipelines, and platform security while partnering with data teams to deploy ingestion pipelines and operations.

The role requires 5-7 years of cloud data platform experience, strong expertise in Azure data services, and hands-on DevOps automation. Hybrid work options are available within India.

Qualifications

• 5-7 years designing, engineering, and supporting cloud data platforms.
• Hands-on experience with Azure data services (Databricks, Synapse, ADLS Gen2, Azure SQL, Data Factory).
• Experience implementing security controls, governance, and best practices.
• Proficiency with IaC using Terraform and CI/CD pipelines.

Responsibilities

• DevOps pipeline management and CI/CD design for Azure deployments.
• Write, review, and maintain Terraform modules for provisioning.
• Configure security controls, access management, and Unity Catalog grants.
• Monitor, troubleshoot, and improve platform reliability and incident response.
• Collaborate with Data Platform and Data Product teams to deploy pipelines.

Skills

Azure Databricks

Synapse

Terraform

Azure DevOps

CI/CD

RBAC

Unity Catalog

Databricks

Cloud security

Incident management

Education

Bachelor's or Master's in Computer Science or related field

Tools

Terraform

Azure DevOps

Terraform modules

Azure data services

Job description

Work Flexibility: Hybrid Lead Engineer, EDT Data & Analytics Cloud Engineering The Lead Cloud Platform Engineer supports the operational excellence, security, and reliability of the enterprise data & analytics platform on Azure and Databricks. 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 Design, build, test, and operate Azure DevOps CI/CD pipelines that package code, run automated quality checks, deploy infrastructure and data workloads, and promote releases across development, testing, and production environments. Own day-to-day pipeline execution and release readiness by monitoring runs, diagnosing failed builds and deployments, correcting pipeline definitions, and improving rollback, approval, and promotion controls.

Infrastructure as Code & Environment Provisioning

Write, review, and maintain Terraform modules for repeatable provisioning of Azure and Databricks platform components; test changes through plan and deployment cycles and keep modules versioned and reusable. Provision and configure workspaces, compute, storage, networking, private connectivity, identities, and access through automated IaC processes; detect configuration drift and implement corrective changes.

Platform Security & Access Management

Configure and troubleshoot RBAC, service principals, managed identities, secrets, storage permissions, cluster policies, and Unity Catalog grants across Azure Data Factory, Databricks, Synapse, Azure SQL, ADLS Gen2, and Key Vault. Apply and verify least-privilege access, identity integration, and secrets-management controls through hands-on configuration reviews, access testing, and remediation of security findings.

Platform Operations & Reliability Engineering

Build and tune monitoring, alerts, dashboards, and operational runbooks; participate directly in incident response, perform root-cause analysis, and implement preventive automation and reliability fixes. Monitor integration runtimes, clusters, jobs, pipelines, and platform services; inspect logs and metrics, reproduce failures, resolve runtime and performance issues, and validate service recovery against SLAs.

Data Engineering Operations

Work directly with Data Platform and Data Product teams to deploy and operationalize ingestion pipelines, orchestration, Databricks jobs, and supporting platform services; provide hands-on support through production rollout.

Collaboration

Translate stakeholders into implementable technical changes, contribute code and configuration, lead technical working sessions, and document the resulting solution and operational handoff.

What you need:

Bachelor’s or master’s degree in computer science, Engineering, Information Systems, Business, or a related technical discipline. 5-7 years of experience designing, engineering, and supporting cloud-based data and analytics platforms, data warehouses, and modern data ecosystems. Strong hands‑on expertise with Azure data services, including Azure Databricks, Synapse Analytics, ADLS Gen2, Azure SQL, Azure Data Factory, Key Vault, and Unity Catalog. Proven experience implementing platform security controls, governance frameworks, and Azure data platform best practices to ensure secure, scalable, and compliant solutions. Proficiency in Infrastructure as Code (IaC) using Terraform and Azure DevOps CI/CD pipelines, with experience automating deployments across multiple environments. Demonstrated ability to monitor, optimize, and troubleshoot cloud data platforms, including performance tuning, alerting, incident management, and root cause analysis. Excellent analytical, problem‑solving, and communication skills, with the ability to collaborate effectively across engineering, operations, security, and business stakeholders. Proactive mindset with a track record of driving automation, process optimization, operational improvements, and scalable platform enhancements that increase efficiency and reliability. Cloud Engineering certifications on Azure/Databricks platform is a plus.

Travel Percentage:

None

Stryker is one of the world’s leading medical technology companies and, together with its customers, is driven to make healthcare better. We offer innovative products and services in Orthopaedics, Medical and Surgical, and Neurotechnology and Spine that help improve patient and hospital outcomes. We are proud to be named one of the World’s Best Workplaces! For more information, visit: www.stryker.com

Work Flexibility Remote – Role allows you to work the majority to 100% of time from an alternate workplace. These roles could have travel expectations, and you must work within the country of the job requisition location. Field-based – You can expect to regularly work a majority to 100% of time at customer facilities and has a set territory or expectation to travel within a set boundary. Almost all sales roles would likely be qualified as field-based. Onsite – Role is 100% located at a Stryker facility. Some ad hoc flexibility may be available depending on role, level, and job requirements. Manufacturing roles and any role that requires physical presence at the office would qualify under this category. Hybrid – You can expect to regularly work in both an alternate workplace and a Stryker facility. Roles that are partially remote or co-located would qualify as hybrid, and the expectation to be onsite would be defined and agreed upon by your manager/supervisor.