Senior Technical Lead, Data Architecture & Design
Gurugram, HR
- Pay
- Pay not listed
- Work setting
- Not stated
- Employment
Full-time — employment source
Employment type in the employer’s listing: FULL_TIME
From the employer’s posting
What you’ll work on
Full postingLead implementation of ETL/ELT pipelines, data lakes, lakehouses and data warehouses
Provide technical guidance and oversight to delivery partners across the lifecycle
Ensure solutions meet architecture, engineering, and governance standards
Optimize performance, reliability, and cloud cost across data platforms
Guide CI/CD and automated deployments through Azure DevOps
From the employer’s posting
Lead the implementation of ETL/ELT pipelines, data lakes/lakehouses, data warehouses, BI integrations, and reusable data products.
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.
Optimize performance, scalability, reliability, and cloud cost efficiency across data platforms and solutions.
Guide teams in following approved CI/CD and version control standards, with a strong emphasis on automated, consistent, and reliable deployments through Azure DevOps.
What you’ll bring
All qualificationsCore experience
- 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.
Qualification wording
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.
Education & alternatives
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.
Tools in this posting
- SQL
- Azure
- Databricks
- Delta Lake
- Spark
- PySpark
Source — Tool mentions in context
- 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.
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.
- 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.
- 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.
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Sep 30, 2026 · 23 days ago
- Recorded sightings
- 52
- Last seen by us
- Oct 22, 2026
These dates show when we found the listing. Check the employer’s website to confirm it is still accepting applications.
Your next step
- Have your resume and examples of relevant work ready.
- Check the listed location, eligibility and core experience before starting.
- Ask the employer about the pay range before committing time to the process.
Complete your application on careers.stryker.com. The employer’s form will show what is required.
Already applied? Track this application
Job description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Gurugram, HR
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.
See how this role fits your experience
Add your resume to compare the role’s scope, tools and requirements with your experience.