Principal Architect, EDT Cloud Data & Analytics; 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, Dev Ops 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.

• Design, implement, and operate Azure Dev Ops 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.

• Implement and manage platform infrastructure as code using Terraform, ensuring consistent, repeatable provisioning and configuration across all environments.

• Own environment provisioning end to end, work spaces, compute, storage, networking, and access, maintaining infrastructure integrity through automated IaC processes and drift detection.

• 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.

• 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.

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

• Collaborate with 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.

• 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 Dev Ops 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…