Work Flexibility: Remote

As a Principal Architect, EDT Data & Analytics you will own the operational excellence, security, and reliability of the enterprise data & analytics platform on Azure. The role combines platform operations, DevOps automation, and Infrastructure as Code across the core stack - Azure Databricks, Synapse, ADLS Gen2, Azure SQL, Azure Data Factory, Key Vault, and Unity Catalog - with a reliability-engineering mindset: automate everything repeatable, secure everything by default, and keep the platform highly available for global data engineering and analytics teams.

 

What You Will Do:

 

DevOps Pipeline Management & CI/CD

• Design, implement, and operate Azure DevOps pipelines for CI/CD - automating build, test, and deployment across development, testing, and production environments with reliable, repeatable releases.
• Maintain high service availability through effective workflow management, smooth promotion processes, and efficient pipeline operations.

 

Infrastructure as Code & Environment Provisioning

• Implement and manage platform infrastructure as code using Terraform, ensuring consistent, repeatable provisioning and configuration across all environments.
• Own environment provisioning end to end, workspaces, compute, storage, networking, and access, maintaining infrastructure integrity through automated IaC processes and drift detection.

 

Platform Security & Access Management

• Manage platform security in collaboration with development and operations teams - RBAC, access control, and security controls across Azure Data Factory, Databricks, Synapse, Azure SQL, ADLS Gen2, Key Vault, and Unity Catalog.
• Implement and enforce Azure data service security best practices across the platform, including secrets management, identity integration, and least privilege access.

 

Platform Operations & Reliability Engineering

• Operate the platform with an SRE mindset, monitoring, alerting, performance tuning, capacity management, and incident management with root-cause analysis and preventive automation.
• Monitor and optimize integration runtimes and platform services for efficient data flow, troubleshooting and resolving runtime and pipeline issues to protect SLAs.

 

Data Engineering Operations

• Partner with Data Platform and Data Product teams to design and operationalize scalable enterprise data solutions across pipelines, orchestration, and Databricks workloads.

 

Stakeholder Engagement:

• Collaborate with internal D&A team to understand data needs and priorities.

 

Vendor Management:

• Evaluate and manage relationships with external data and analytics vendors, ensuring alignment with organizational goals.

 

What You Need

 

Required:

• Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field.
• Minimum 8 years of experience in cloud engineering, data warehousing, data engineering, or enterprise data and analytics platforms.
• Minimum 4 years of experience managing platform security and applying Azure data service security practices in enterprise environments.
• Demonstrated hands-on architecture and engineering experience, with the ability to design and build enterprise data platforms, pipelines, and cloud solutions rather than solely providing governance, advisory, or oversight.
• Experience with the Azure data stack, including Azure Databricks (Spark, Delta Lake, Unity Catalog, Workflows/DLT), ADLS Gen2, Azure Synapse Analytics, Azure SQL, Azure Data Factory, and Azure Key Vault, along with modern data engineering practices and Power BI.
• Experience designing and managing Azure DevOps CI/CD pipelines, including automated build, testing, deployment, and promotion across multiple environments.
• Experience implementing Infrastructure as Code using Terraform to automate and standardize cloud infrastructure and environment provisioning.
• Experience operating enterprise cloud data platforms, including monitoring, alerting, performance tuning, troubleshooting, incident management, and reliability improvement.
• Experience defining and operationalizing enterprise architecture standards, reference architectures, design patterns, and architecture review processes.
• Experience implementing data security, privacy, and access controls within regulated environments, including requirements related to GxP, HIPAA, and PII/PHI.
• Experience influencing technical design decisions across engineering teams, including reviewing in-flight solutions, identifying architectural risks, and driving remediation.

 

Preferred:

• Master’s degree.
• Azure analytics or cloud certification.

 

  

 

United States of America Pay Ranges:

• USN: $135,600 - $225,900 USD Annual
• US5: $142,400 - $237,200 USD Annual
• US10: $149,200 - $248,500 USD Annual
• US15: $155,900 - $259,800 USD Annual
• US20: $162,700 - $271,100 USD Annual
• US30: $176,300 - $293,700 USD Annual

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

  

 

Travel Percentage: 10%

Stryker Corporation is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, gender identity, sexual orientation, national origin, disability, or protected veteran status. Stryker is an EO employer – M/F/Veteran/Disability.

Stryker Corporation will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the contractor’s legal duty to furnish information.