Job details
Senior Staff Engineer - Data Architecture
This role is responsible for setting 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 and maintaining data frameworks, models, and policies to ensure data is accessible, secure, and reliable, this role will:
Partner with local business analytics teams and data engineers to gather and build requirements aligned with business needs.
Drive testing and validation processes to ensure accuracy and quality throughout implementation.
Oversee and support the ongoing conversion to a new data model and platform, ensuring seamless integration and adoption.
Collaborate across functions to deliver solutions that enable actionable insights and operational excellence.
What you will do:
Data architecture design: visualize and design the optimal data management framework to include ingestion of data from various internal sources (multiple ERP systems and business systems) in various master data structures into an integrated data lake, accessible by Stryker-standard business analysis tools
Data governance: establish data quality standards, data retention policies, and access controls to maintain data accuracy and security
Database management: select appropriate database technologies, optimize database performance, and ensure data cleanliness/integrity
Data security: implement data security measures to protect sensitive information and maintain access approval process
Collaboration with stakeholders: work closely with data engineers, business analysts, and divisional planning teams to understand data needs and deliver tailored solutions
Performance optimization: Monitor data performance, identify bottlenecks, and implement improvements to data processing and retrieval.
IT integration: coordinate with IT to ensure that the necessary infrastructure is rolled out and maintained, 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
