Senior Principal Technical Architect

Stryker; Gurugram District; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Stryker is seeking an senior Data Architecture leader to define and evolve the enterprise Data & Analytics vision, standards, and a multi-year roadmap leveraging Azure, Databricks, and Lakehouse principles. You will lead complex architecture initiatives spanning domains, ensuring SAP and non-SAP data harmonization and governance across the enterprise.

The role requires 14+ years in enterprise data or solution architecture, deep cloud data platform expertise, and strong leadership to drive

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, or related field; advanced degree preferred.
• 14+ years in Enterprise Data Architecture, Solution Architecture, or Data Engineering with leadership experience.
• Deep expertise in Azure, Databricks, Lakehouse architectures and modern cloud data platforms.
• Experience integrating SAP and ERP across multiple domains with governance and regulatory compliance.
• Ability to lead cross-functional transformation initiatives and translate business challenges into technology solutions.

Responsibilities

• Define and evolve enterprise Data & Analytics architecture vision, standards, and multi-year roadmap using Azure, Databricks, Lakehouse concepts.
• Lead architecture for complex initiatives across domains, harmonizing SAP and non-SAP data enterprise-wide.
• Design and modernize data solutions to replicate complex processes and support current/history data needs.
• Migrate reporting platforms to governed, Azure-native architectures and oversee legacy decommissioning.
• Establish and govern architecture standards including lineage, security, access, integration, and governance.
• Ensure solutions meet SOX, GxP, SDLC, validation, and change-management requirements.
• Partner with senior leaders to shape strategy and evaluate emerging technologies for the data platform.
• Advance AI readiness with governed data consumption, semantic models, retrieval-augmented solutions, and responsible AI adoption.
• Serve as the top technical authority for architectural decisions and promote best practices across teams.
• Mentor Principal Architects and senior engineers to raise architectural maturity and engineering excellence.

Skills

Azure

Databricks

Lakehouse architecture

Solution Architecture

Executive leadership

Data governance

Regulatory compliance

Mentoring architects

TOGAF

Architectural governance

Education

Bachelor's degree in CS/Engineering/IS

Advanced degree

Tools

SAP ERP

Microsoft Fabric

Job description

• Define and evolve the enterprise Data & Analytics architecture vision, standards, and multi-year roadmap, leveraging Azure, Databricks, and Lakehouse principles to deliver secure, scalable, and cost-efficient platforms.
• Lead architecture for complex, business-critical initiatives spanning multiple domains, ensuring seamless integration and harmonization of SAP and non-SAP data across the enterprise ecosystem.
• Design and modernize enterprise data solutions that accurately replicate complex operational processes while supporting both current and historical business data needs.
• Drive large-scale transformation programs by migrating commercial, manufacturing, and compensation reporting platforms to governed, Azure-native architectures and overseeing legacy platform decommissioning.
• Establish and govern enterprise-wide architecture standards, including data lineage, classification, security, access controls, integration frameworks, and data governance practices.
• Ensure all solutions meet regulatory, compliance, and security requirements, including SOX, GxP, SDLC, validation, and change management standards.
• Partner with senior Engineering, Product, and Business leaders to shape technology strategy, evaluate emerging technologies, and define the future direction of the data platform landscape.
• Advance the organization's AI readiness by enabling governed enterprise data consumption, semantic models, retrieval-augmented solutions, and responsible adoption of generative and agentic AI capabilities.
• Serve as the highest-level technical authority for complex architectural decisions while championing best practices, reusable design patterns, and engineering excellence across teams.
• Represent Data & Analytics in enterprise architecture forums and mentor Principal Architects and senior engineers, fostering architectural maturity, innovation, and technical leadership across the organization.

What you will do:

• Define and evolve the enterprise Data & Analytics architecture vision, standards, and multi-year roadmap, leveraging Azure, Databricks, and Lakehouse principles to deliver secure, scalable, and cost-efficient platforms.
• Lead architecture for complex, business-critical initiatives spanning multiple domains, ensuring seamless integration and harmonization of SAP and non-SAP data across the enterprise ecosystem.
• Design and modernize enterprise data solutions that accurately replicate complex operational processes while supporting both current and historical business data needs.
• Drive large-scale transformation programs by migrating commercial, manufacturing, and compensation reporting platforms to governed, Azure-native architectures and overseeing legacy platform decommissioning.
• Establish and govern enterprise-wide architecture standards, including data lineage, classification, security, access controls, integration frameworks, and data governance practices.
• Ensure all solutions meet regulatory, compliance, and security requirements, including SOX, GxP, SDLC, validation, and change management standards.
• Partner with senior Engineering, Product, and Business leaders to shape technology strategy, evaluate emerging technologies, and define the future direction of the data platform landscape.
• Advance the organization's AI readiness by enabling governed enterprise data consumption, semantic models, retrieval-augmented solutions, and responsible adoption of generative and agentic AI capabilities.
• Serve as the highest-level technical authority for complex architectural decisions while championing best practices, reusable design patterns, and engineering excellence across teams.
• Represent Data & Analytics in enterprise architecture forums and mentor Principal Architects and senior engineers, fostering architectural maturity, innovation, and technical leadership across the organization.

What you need:

• Bachelor's degree in Computer Science, Engineering, Information Systems, or a related field required; advanced degree
• 14+ years of experience in Enterprise Data Architecture, Solution Architecture, or Data Engineering, with a proven track record of defining and delivering enterprise-scale technology strategies and multi-year transformation roadmaps with minimum 3 years of People Management Experience
• Deep expertise in Azure, Databricks, Lakehouse architectures, and modern cloud data platforms, with hands‑on experience building secure, scalable, and governed data ecosystems.
• Strong experience integrating SAP and enterprise ERP platforms across commercial, supply chain, manufacturing, and finance domains, coupled with expertise in data governance, security, and regulatory compliance.
• Demonstrated ability to architect and lead complex, cross-functional transformation initiatives, translating ambiguous business challenges into pragmatic, future‑ready technology solutions.
• Advanced knowledge of data modeling, analytics, and BI architectures, including Lakehouse design patterns, data warehousing, semantic models, and enterprise reporting frameworks.
• Understanding of emerging AI and Generative AI technologies, including enterprise knowledge retrieval, vector search, retrieval‑augmented generation (RAG), and modern AI platform architectures.
• Proven executive leadership skills with the ability to influence senior stakeholders, drive architectural governance, build consensus across diverse teams, and communicate complex technical concepts to business leaders.
• Recognized as a trusted technical leader and mentor, with experience elevating architecture practices, coaching senior architects and engineers, and fostering engineering excellence across the organization.
• Certifications such as TOGAF, Azure Solutions/Data Architect, Databricks, or Microsoft Fabric are highly preferred.

Stryker is a global leader in medical technologies and, together with its customers, is driven to make healthcare better. The company offers innovative products and services in MedSurg, Neurotechnology, Orthopaedics and Spine that help improve patient and healthcare outcomes. Alongside its customers around the world, Stryker impacts more than 150 million patients annually.