Principal Architect, EDT Cloud Data & Analytics (Remote)

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%

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