Senior Data Platform Lead - Azure & Enterprise Data

Stryker; United States; On-site; USD 118,000 - 256,000; Full time

Benefits offered by this job

Health benefits

401(k) plan

Employee Stock Purchase Plan (ESPP)

Dental insurance

Vision insurance

Job summary

Stryker in the United States seeks a Senior Lead, Data Engineering to shape enterprise data solutions and mentor engineers. You will drive architecture for global procurement analytics, design Azure-based data platforms with Databricks, Delta Lake, and CI/CD pipelines, and partner with stakeholders to deliver scalable data products that accelerate decision making.

The role requires strong SQL/Python skills, cloud experience, and the ability to manage long-term data strategy across ERP systems.

Qualifications

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, Information Systems, Mathematics, Statistics, or a related technical field.
• 6+ years of experience in data engineering, analytics engineering, software engineering, or enterprise data platform development.
• Proven experience architecting, building, and modernizing scalable cloud-based data platforms in an enterprise environment.
• Hands-on experience with Azure-based data engineering technologies, including Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation.
• Strong proficiency in SQL and Python, with experience using Spark or similar distributed data processing frameworks.
• Experience designing reliable ETL/ELT pipelines, data warehouse or Lakehouse architectures, data models, and performance-optimized analytics solutions.
• Experience integrating data from multiple ERP or enterprise source systems and harmonizing inconsistent master, supplier, purchasing, or transactional data into common data models.
• Experience with API integrations, REST services, authentication, security, data governance, and production support practices.
• Demonstrated ability to establish engineering standards, conduct architecture reviews, improve documentation, mentor engineers, and influence technical direction without direct authority.
• Ability to partner with analysts, engineers, architects, and business stakeholders to translate complex business requirements into scalable, maintainable engineering solutions.

Responsibilities

• Lead the architecture, development, and modernization of scalable enterprise data platforms that support global procurement analytics and business transformation.
• Define and help execute a multi-year data engineering strategy focused on platform scalability, reliability, automation, technical debt reduction, and long-term maintainability.
• Design, build, and optimize Azure-based data solutions using Databricks, Delta Lake, Azure Data Factory, Azure DevOps, CI/CD pipelines, and infrastructure automation.
• Integrate and harmonize data across multiple ERP systems by standardizing supplier, purchasing, and master data into common enterprise data models.
• Partner with procurement analysts, architects, engineers, and business stakeholders to translate complex business needs into reusable, scalable data products and engineering solutions.
• Establish engineering standards, conduct architecture reviews, improve documentation, and mentor engineers to raise the overall technical capability of the team.
• Identify and implement AI-enabled approaches that accelerate development, improve data quality, automate documentation, support testing, and enhance analyst productivity.
• Evaluate and recommend tools, frameworks, patterns, and platform investments that improve performance, reliability, security, governance, and operational efficiency.
• Support the development of internal data products, APIs, and user-facing applications that simplify access to procurement insights and improve analyst productivity.
• Present technical recommendations, roadmap priorities, tradeoffs, and business impacts to technical and non-technical stakeholders, including leadership teams.

Skills

SQL

Python

Spark

Leadership/Mentoring

Enterprise data platforms

Education

Bachelor’s degree in CS or related

Master’s degree (preferred)

Tools

Azure Data Factory

Databricks

Delta Lake

Azure DevOps

CI/CD pipelines

API integrations

Job description

Stryker in the United States seeks a Senior Lead, Data Engineering to shape enterprise data solutions and mentor engineers. You will drive architecture for global procurement analytics, design Azure-based data platforms with Databricks, Delta Lake, and CI/CD pipelines, and partner with stakeholders to deliver scalable data products that accelerate decision making.

The role requires strong SQL/Python skills, cloud experience, and the ability to manage long-term data strategy across ERP systems.