Principal Architect, EDT Data Platform Engineering (Hybrid)

PowerToFly; Mahwah (NJ); On-site; USD 136,000 - 271,000; Full time

Job summary

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

This role emphasizes reusable automation, CI/CD, and a robust semantic layer across Power BI and Fabric, while guiding onboarding, design reviews, and data quality governance across

Qualifications

• Bachelor's degree required in CS/Engineering/Info Systems or equivalent.

Responsibilities

• Translate enterprise data architecture into scalable Azure/Databricks solutions.
• Partner with delivery teams, business representatives, and data stewards to build governed data pipelines and analytics-ready models.
• Own CI/CD pipelines in Azure DevOps and automate onboarding, repos, pipelines, policies and templates.
• Maintain IaC and automation using Terraform, PowerShell, and Python; troubleshoot pipeline issues.
• Design Gold-layer data models (star and snowflake schemas, fact tables, dimensions).
• Align reusable models with the enterprise semantic layer in Power BI, Fabric, and downstream tools.
• Guide delivery teams through onboarding, debugging and design reviews.
• Create reusable assets and hands-on guidance to reduce repeat questions.

Skills

Leadership

Stakeholder communication

Mentoring teams

Architecture design

Problem solving

Education

Bachelor's degree in CS/Engineering/IS

Master's degree preferred

Tools

Azure Data Factory

Azure Data Lake Storage

Azure SQL

Databricks Delta Live Tables

Delta Lake

Spark

Workflows

Unity Catalog

Azure DevOps

PowerShell

Terraform

Python

PySpark

SQL

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:

Technical Responsibilities:

• 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.