Job Description

Work Flexibility: Hybrid

Senior Staff Engineer - Data Architecture

This roleis responsible forsetting the vision for, designing, and leading the end-to-end delivery of the Stryker Endoscopy, Instruments, and Joint Replacement Division Operations data management framework and data architecture. In addition to defining andmaintainingdata frameworks, models, and policies to ensure data is accessible, secure, and reliable, this role will:

• Partner with local business analytics teams and data engineersto gather and build requirements aligned with business needs.

• Drive testing and validation processesto ensure accuracy and quality throughout implementation.

• Oversee and support the ongoing conversionto a new data model and platform, ensuring seamless integration and adoption.

• Collaborate across functionsto deliver solutions that enable actionable insights and operational excellence.

What you will do:

• Dataarchitecture designvisualize anddesigntheoptimaldata management framework to include ingestion ofdata from variousinternalsources(multiple ERP systems and business systems)in various master data structuresinto an integrateddata lake,accessible by Stryker-standardbusinessanalysis tools

• Datagovernanceestablishdata quality standards, data retention policies, and access controls tomaintaindata accuracy and security

• Databasemanagementselectappropriate databasetechnologies,optimizedatabase performance, and ensure datacleanliness/integrity

• Data securityimplement data security measures to protect sensitive informationandmaintainaccess approval process

• Collaboration with stakeholders:work closely withdata engineers,businessanalysts,anddivisional planningteams to understand data needs and deliver tailored solutions

• Performance optimization Monitor data performance,identifybottlenecks, and implement improvements to data processing and retrieval.

• IT integration: coordinate with IT to ensure that the necessary infrastructure is rolled out andmaintained, and that current technology supports the divisions’ goals

What you will need:

Required Skills:

• Bachelors Degree in Computer Science or similar technical discipline

• 8 to 12 years of experience in data architecture, data engineering or related field

• Deep competencies in designing and implementing data models (relational, dimensional, NoSQL), and database systems, and data warehouse systems. Functional proficiency in Python and SQL, and standard business intelligence tools. Strong analytical approach to problem solving, communication skills, and relationship management. Flexible and agile mindset and design approach with focus on scalability.

• High proficiency in Databricks, Python, SQL, and Data Lineage tools (Purview)

• Proven experience in migration and modernization initiatives, such as BW or legacy data warehouse → Databricks and designing scalable Bronze–Silver–Gold layers and shared data standards for a common analytics platform. Have exposure to operations and supply chain data domains (orders, inventory, supply, logistics, manufacturing, etc.) and act as a technical thought partner aligning platform design with business needs

• Collaborate across multiple teams and stakeholders (engineering, IT, business) to converge on common data solutions, then translate those agreements into clear, scalable platform designs

Preferred Skills:

• SAP system knowledge

• Experience in Azure Data Factory and Azure SQL

Travel Percentage: 10%