Principal Architect, EDT Data Platform Engineering (Hybrid)

Stryker; Mahwah (NJ); On-site; USD 136,000 - 226,000; Full time

Benefits offered by this job

Health benefits

Wellbeing program

Tobacco cessation program

HSA

FSAs

401(k) plan

Employee stock purchase plan

Life and AD&D insurance

Short-term disability

ESPP

Job summary

Stryker seeks a Principal Architect for EDT Data Platform Engineering to translate enterprise data architecture into scalable solutions on Azure and Databricks Lakehouse. You will partner with delivery teams, data stewards, and business reps to build governed pipelines, analytics-ready models, and reusable automation.

You will lead ingestion frameworks, Bronze-to-Silver transformations, and Gold-layer modeling while aligning with Power BI and Fabric semantic layers.

Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or equivalent.
• Minimum 8 years of data engineering, data warehousing, and analytics platform experience on Azure and Databricks.
• Experience with Azure Data Factory, Azure Data Lake Storage, Azure SQL, Databricks Delta Live Tables, Delta Lake, Spark, Workflows, and Unity Catalog.
• Advanced experience with PySpark or Python and SQL for batch and streaming pipelines.
• Experience with Azure DevOps pipelines, repositories, policies; PowerShell automation; CI/CD; and Infrastructure as Code.
• Experience with schema enforcement, data contracts, data quality frameworks, metadata-driven design, monitoring, debugging, and performance tuning.

Responsibilities

• Build and maintain ingestion frameworks using Azure Data Factory, Databricks, and Spark.
• Implement Bronze-to-Silver transformations with data quality checks and data contracts.
• Optimize batch and streaming pipelines for performance and cost.
• Own CI/CD pipelines in Azure DevOps and automate onboarding, repositories, pipelines, policies, and templates.
• Maintain Infrastructure as Code and automation using Terraform, PowerShell, and Python; troubleshoot failures.
• Design Gold-layer data models with star and snowflake schemas, fact tables, and dimensions.
• Align reusable models and business logic with the enterprise semantic layer in Power BI and Microsoft Fabric.
• Manage model changes with impact analysis, backward compatibility, and regression support.
• Implement Unity Catalog standards, metadata policies, and access controls.
• Translate architecture into low-level designs, templates, and playbooks.
• Guide onboarding, debugging, and design reviews; create reusable assets to reduce questions.

Skills

Data engineering

Stakeholder communication

Problem solving

Education

Bachelor's degree

Master's degree (preferred)

Tools

Azure Data Factory

Databricks

Spark

Delta Live Tables

Unity Catalog

Azure Data Lake Storage

Azure SQL

Python

PowerShell

Terraform

Azure DevOps

Job description

As a Principal Architect, EDT Data Platform Engineering you will translate enterprise data architecture into scalable engineering solutions on the Azure and Databricks Lakehouse platform. You will partner with delivery teams, business representatives, and data stewards to build governed data pipelines, analytics-ready models, and reusable automation that improves consistency across projects and teams.

What you will do:

• Build and maintain ingestion frameworks using Azure Data Factory, Databricks, and Spark.


• Implement Bronze-to-Silver transformations with data quality checks, schema validation, and data contract rules.


• Optimize batch and streaming pipelines for performance and cost.


• Own CI/CD pipelines in Azure DevOps and automate project onboarding, including repositories, pipelines, policies, and templates.


• Maintain Infrastructure as Code and automation using Terraform, PowerShell, and Python; troubleshoot pipeline failures and permission issues.


• Design curated Gold-layer data models, including star and snowflake schemas, fact tables, dimensions, surrogate keys, and slowly changing dimensions.


• Align reusable models, KPI definitions, and business logic with the enterprise semantic layer in Power BI, Microsoft Fabric, and downstream tools.


• Manage model changes through impact analysis, backward compatibility, regression support, and documented column derivation logic.


• Implement Unity Catalog standards, naming conventions, metadata policies, data quality frameworks, and role- and attribute-based access controls.


• Translate high-level architecture into low-level designs, reusable templates, and engineering playbooks.

Leadership & People Management Responsibilities:

• Guide delivery teams through onboarding, debugging, and design reviews.


• Create reusable assets and hands-on guidance that build engineering capability and reduce repeat questions.

Knowledge and Capabilities:

• Assess complex data systems, identify patterns, and recommend practical solutions.


• Explain technical concepts clearly to technical and non-technical stakeholders.


• Partner with business representatives and data stewards to define requirements, validate metrics and edge cases, and guide solution decisions.


• Identify opportunities for process optimization, redesign, and new or updated policies.

What You Need:

Required Qualifications

• Bachelor's degree from an accredited university in Computer Science, Engineering, Information Systems, Business, or an equivalent field of study.


• Minimum 8 years of experience in data engineering, data warehousing, and data and analytics platforms, including recent hands-on delivery on Azure and Databricks Lakehouse platforms.


• Experience with Azure Data Factory, Azure Data Lake Storage, Azure SQL, Databricks Delta Live Tables, Delta Lake, Spark, Workflows, and Unity Catalog.


• Advanced experience with PySpark or Python and SQL, including batch and streaming pipeline design.


• Experience with Azure DevOps pipelines, repositories, and policies; PowerShell automation; CI/CD; and Infrastructure as Code.


• Experience with schema enforcement, data contracts, data quality frameworks, metadata-driven design, monitoring, debugging, and performance tuning.

Preferred Qualifications

• Master's degree in Management Information Systems, Business Administration, or a related discipline, or an Azure analytics certification.


• Experience with Microsoft Fabric


• Experience within the medical device or another regulated industry.

United States of America Pay Ranges:

• USN: $135,600 - $225,900 USD Annual


• US10: $149,200 - $248,500 USD Annuall


• US20: $162,700 - $271,100 USD Annual

View the U.S. work location and transparency guide to find the pay range for your location.

Health benefits include: Medical and prescription drug insurance, dental insurance, vision insurance, critical illness insurance, accident insurance, hospital indemnity insurance, personalized healthcare support, wellbeing program and tobacco cessation program. Financial benefits include: Health Savings Account (HSA), Flexible Spending Accounts (FSAs), 401(k) plan, Employee Stock Purchase Plan (ESPP), basic life and AD&D insurance, and short-term disability insurance. Stryker 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. Depending on customer requirements employees and new hires in sales and field roles that require access to customer accounts as a function of the job may be required to obtain various vaccinations as an essential function of their role.