Senior Technical Lead, Data Architecture & Design

Stryker Corporation; Gurugram District; Remote; INR 800,000 - 1,200,000; Full time

Job summary

Stryker Corporation in India—Gurugram area is seeking a Senior Technical Lead to guide end-to-end delivery of enterprise data solutions built on Azure Databricks. You will collaborate with Enterprise Architecture, Platform & Engineering, BAs, and partners to design, deploy, and transition to service delivery.

You will mentor data engineers, enforce CI/CD with Azure DevOps, and ensure scalable, secure data platforms while optimizing performance and cost across the data stack.

Qualifications

• Bachelor's degree in Computer Science, Data Analytics, or related field.
• 10–12 years of data engineering and architecture experience.
• Strong experience in enterprise data engineering and data architecture.
• Hands-on Azure Databricks, Azure Data Factory/Synapse, ADLS, SQL, Spark/PySpark, and Delta Lake.
• Understanding of data modeling, ETL/ELT, governance, security, and access-control concepts.
• Experience designing scalable cloud data platforms and optimizing performance and cost.
• Experience with CI/CD and Azure DevOps for automated deployment.
• Knowledge of testing, release management, and production support.

Responsibilities

• Engage with delivery partners in technical discussions and reviews.
• Provide technical guidance and oversight throughout the delivery lifecycle.
• Ensure solutions adhere to architecture, standards, governance, and best practices.
• Lead the implementation of ETL/ELT pipelines, data lakes, data warehouses, and BI integrations.
• Drive alignment on security, privacy, and compliance with partners.
• Optimize performance, scalability, reliability, and cloud cost efficiency.
• Own end-to-end delivery from design to operations and transition to service delivery.
• Guide teams in CI/CD and Azure DevOps for automated deployments.
• Review data solutions, risk analysis, and change-impact assessments.
• Collaborate with EA, Platform, PMO, BAs, Product teams and stakeholders.
• Mentor data engineers and promote engineering standards and best practices.

Skills

Leadership

Mentoring

Cross-functional collaboration

Delivery governance

Data governance

Education

Bachelor's degree in Computer Science or related field

Degree in Statistics/Data Science a plus

Tools

Azure Databricks

Azure Data Factory

Synapse

ADLS

SQL

Spark/PySpark

Delta Lake

CI/CD

Azure DevOps

Job description

Work Flexibility: Hybrid Senior Technical Lead

We are looking for an experienced Senior Technical Lead to lead the end-to-end delivery of scalable, secure, and high-performing enterprise data built on Azure and Databricks. The role will work closely with Enterprise Architecture, Platform & Engineering, Business Analysts, Implementation Partners, Product Owners, and Service Delivery Teams to ensure successful delivery from solution design through production deployment and transition to service delivery.

What you will do:

• Engage with delivery partners in technical discussions, solution reviews, and design evaluations.
• Provide technical guidance and oversight throughout the delivery lifecycle to delivery partners.
• Ensure solutions adhere to approved architecture, engineering standards, governance requirements, and best practices.
• Lead the implementation of ETL/ELT pipelines, data lakes/lakehouses, data warehouses, BI integrations, and reusable data products.
• Drive alignment on standards across security, privacy and compliance requirements with implementation partners.
• Optimize performance, scalability, reliability, and cloud cost efficiency across data platforms and solutions.
• Own end-to-end technical delivery including solution design, development, testing, deployment, hypercare, and transition to operations.
• Guide teams in following approved CI/CD and version control standards, with a strong emphasis on automated, consistent, and reliable deployments through Azure DevOps.
• Review data solutions, technical assessments, change-impact analysis, and risk identification and mitigation.
• Collaborate with Enterprise Architecture, Platform, PMO, Business Analysts, Product teams and other internal cross-functional stakeholders.
• Mentor data engineers and analysts and promote engineering standards, design best practices, and continuous improvement.

What you need:

• Bachelor's degree in Computer Science, Data Analytics, or a related field.
• Degree in Statistics, and Data Science is an added advantage.
• 10-12 years of related data engineering and architecture experience.
• Strong experience in enterprise data engineering and data architecture.
• Hands-on expertise with Azure Databricks, Azure Data Factory/Synapse, ADLS, SQL, Spark/PySpark, and Delta Lake.
• Strong understanding of data modeling, ETL/ELT architecture, data governance, security, and access-control concepts.
• Experience designing scalable cloud data platforms and optimizing performance and cost.
• Experience with CI/CD and Azure DevOps for automated code promotion and deployment.
• Strong understanding of testing, release management, production deployment, and operational support practices.

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.
• 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.