Senior Principal Architect, EDT Data Architecture Strategy & Standards

Stryker; Gurugram District; Hybrid; INR 3,000,000 - 6,000,000; Full time

Job summary

Stryker is seeking a Senior Principal Architect, EDT Data Architecture Strategy & Standards to own the enterprise data and analytics architecture strategy for the global Azure/Databricks Lakehouse ecosystem. This player-coach role combines hands-on delivery with architectural governance across multiple programs.

You will define the target-state architecture, build reference implementations, and drive standards and validation through executable code and prototypes.

Qualifications

• Bachelor's or master's degree in Computer Science, Engineering, Information Systems, or equivalent.
• 10+ years in data engineering, architecture and analytics across large enterprises.

Responsibilities

• Define and own the enterprise data and analytics reference architecture and multi-year roadmap.
• Architect and validate reference implementations across ADLS, Databricks, and BI tools.
• Lead design reviews and intervene to resolve high-risk architectural decisions.
• Build end-to-end batch and streaming data solutions and establish data quality standards.

Skills

Data architecture

Azure Databricks

Leadership

Security & compliance

Power BI

Education

Bachelor's degree

Master's degree

Tools

Azure

Databricks

Delta Lake

Unity Catalog

Power BI

Job description

Work Flexibility: Hybrid or Onsite Senior Principal Architect, EDT Data Architecture Strategy & Standards The Senior Architect, Data & Analytics Architecture owns the enterprise data and analytics architecture strategy, standards, and design patterns for the global Azure/Databricks Lakehouse ecosystem. Actively shapes architectural and technical decisions across programs through direct, hands‑on engagement. This is a player‑coach architect role: the incumbent is accountable both for defining the target‑state architecture and for defending it in real design decisions, intervening with authority and technical credibility to guide teams to the right path. Standards published by this role are grounded in working reference implementations and current engineering practice, not theory.

What you will do:

Architecture Strategy, Standards & Best Practices: Define and own the enterprise data & analytics reference architecture and multi‑year roadmap across the Azure Lakehouse estate, while staying directly engaged in solution design, prototyping, and technical validation across ADLS, Databricks, Delta Lake, Unity Catalog, Power BI, Databricks Genie, and Copilot‑based AI experiences. Build and maintain working reference implementations and reusable blueprints for lakehouse zoning, Delta table design, ingestion and orchestration, semantic models, and Unity Catalog security patterns; validate each standard through executable code, deployment scripts, and representative data workloads.

Design Authority & Decision Intervention: Co-chair the architecture review board with formal approval rights at defined design gates; review solution artifacts in detail, challenge design assumptions, document Architecture Decision Records, and personally validate high‑risk decisions through targeted prototypes or code reviews. Step into critical initiatives when architectural drift or technical blockers emerge, working side by side with engineers in design sessions, notebooks, repositories, and pull requests to troubleshoot issues, refactor solutions, and steer delivery toward the approved pattern.

Engineering & Technical Leadership: Personally design and build end‑to‑end batch and streaming solutions, including CDC ingestion, Auto Loader, Databricks Workflows/DLT, ADF orchestration, and PySpark/SQL medallion transformations, using realistic enterprise data and production‑grade engineering practices. Review production code and pipeline design at the pull‑request level, reproduce performance issues, tune Spark jobs and compute configurations, assess DBU efficiency, and pair with engineers to implement and verify improvements. Create and exercise engineering lifecycle standards for data quality, automated testing, CI/CD, observability, lineage, and recovery; run PoCs, architecture spikes, and hands‑on solution health assessments before standards are adopted broadly. Serve as the senior technical counterpart to Microsoft and Databricks by testing preview capabilities in sandbox environments, documenting findings, and converting vendor direction into practical reference patterns, guardrails, and implementation recommendations.

What you need:

Bachelor’s or master’s degree from an accredited university in the areas of Computer science, Engineering, Information Systems, Business, or equivalent field of study required. 10+ years of progressive experience in data engineering, data architecture, and analytics across large, global enterprises, including recent hands‑on delivery on Azure/Databricks Lakehouse platforms. Demonstrated design and build depth: Ability to walk through data platforms and pipelines they have personally architected and implemented — not solely governance, advisory, or oversight experience. Expert‑level command of the core stack: Azure, ADLS, Databricks (Spark, Delta Lake, Unity Catalog, Workflows/DLT), modern data engineering practices, and Power BI, with good knowledge of Databricks Genie and Microsoft Copilot. Proven experience defining and operationalizing enterprise architecture standards, reference architectures, and design authority or architecture review processes. Track record of influencing and redirecting technical decisions across engineering teams through credibility and expertise, including intervening in in‑flight designs and driving remediation. Strong grounding in data security, privacy, and regulated‑environment requirements (e.g., GxP, HIPAA, PII/PHI handling) and how they translate into architectural controls. Excellent communication skills, with the ability to operate credibly in both executive forums and deep technical design sessions.

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.