Principal Architect, EDT Cloud Data & Analytics (Remote)

Stryker•Mahwah, NJ

4d•$135,600 - $293,700•Remote

About The Position

As a Principal Architect, EDT Data & Analytics, you will own the operational excellence, security, and reliability of the enterprise data and analytics platform on Azure. The role combines platform operations, DevOps automation, and Infrastructure as Code across Azure Databricks, Synapse, ADLS Gen2, Azure SQL, Azure Data Factory, Key Vault, and Unity Catalog. You will apply a reliability-engineering mindset by automating repeatable work, securing the platform by default, and maintaining high availability for global data engineering and analytics teams. You will manage CI/CD pipelines and infrastructure provisioning, platform security and access, reliability engineering, and data engineering operations. You will partner with Data Platform and Data Product teams, collaborate with the internal D&A team on data needs and priorities, and evaluate and manage external data and analytics vendor relationships. The role is remote and involves 10% travel. Listed U.S. annual pay ranges vary by work location: USN $135,600–$225,900; US5 $142,400–$237,200; US10 $149,200–$248,500; US15 $155,900–$259,800; US20 $162,700–$271,100; and US30 $176,300–$293,700.

Requirements

Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, or a related field.
At least 8 years of experience in cloud engineering, data warehousing, data engineering, or enterprise data and analytics platforms.
At least 4 years of experience managing platform security and applying Azure data service security practices in enterprise environments.
Hands-on architecture and engineering experience designing and building 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, as well as 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 in 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.

Nice To Haves

Master’s degree.
Azure analytics or cloud certification.

Responsibilities

Design, implement, and operate Azure DevOps CI/CD pipelines that automate building, testing, and deployment across development, testing, and production environments.
Maintain high service availability through effective workflow management, smooth promotion processes, and efficient pipeline operations.
Implement and manage platform infrastructure as code using Terraform to provide consistent, repeatable provisioning and configuration across environments.
Own end-to-end environment provisioning for workspaces, compute, storage, networking, and access, maintaining infrastructure integrity through automated IaC processes and drift detection.
Manage platform security with development and operations teams, including 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, including secrets management, identity integration, and least-privilege access.
Operate the platform with an SRE mindset, including monitoring, alerting, performance tuning, capacity management, incident management, root-cause analysis, and preventive automation.
Monitor and optimize integration runtimes and platform services; troubleshoot and resolve runtime and pipeline issues to protect SLAs.
Partner with Data Platform and Data Product teams to design and operationalize scalable enterprise data solutions across pipelines, orchestration, and Databricks workloads.
Collaborate with the internal D&A team to understand data needs and priorities.
Evaluate and manage relationships with external data and analytics vendors, ensuring alignment with organizational goals.
Define and operationalize enterprise architecture standards, reference architectures, design patterns, and architecture review processes.
Influence technical design decisions across engineering teams by reviewing in-flight solutions, identifying architectural risks, and driving remediation.