Location: Pacific Northwest- Remote Work

About the Role:

As a Data Architect at Cascadia Healthcare, you will help design, implement, and manage the data platforms that power our analytics, reporting, and business operations. You’ll work closely with engineering, reporting, and security teams to ensure our data is accessible, secure, and optimized for insight and compliance.

Key Responsibilities:

• Support the architecture, implementation, and maintenance of enterprise data platforms using Azure SQL, On-Prem SQL, Azure Storage, Microsoft Dataverse, and Power BI Data Warehouse.
• Assist with data integration and ETL processes, leveraging SFTP, SQL Log Shipping, and Azure Data Factory (or similar tools).
• Help enforce data governance, security, and compliance policies using Microsoft Purview, Defender Suite, and Azure Sentinel.
• Participate in the design and optimization of data models, pipelines, and reporting solutions in Power BI/Fabric.
• Manage data lifecycle, quality, and documentation for structured and unstructured data (CSV, TSV, JSON, API-based integrations).
• Collaborate with engineering, DevOps, and reporting teams to automate data workflows and support CI/CD for data assets.
• Monitor and tune data systems for performance, reliability, and scalability.
• Advise on best practices for data access, privacy, and regulatory compliance.
• Stay current with new data technologies and integration patterns as the organization evolves.

Required Qualifications:

• 3–5 years of experience in data architecture, engineering, or analytics roles.
• Hands-on experience with Azure SQL, On-Prem SQL, Azure Storage, and Power BI Data Warehouse.
• Familiarity with data integration methods (SFTP, SQL Log Shipping, ETL tools such as Azure Data Factory).
• Understanding of data governance, security, and compliance (Purview, Defender, Sentinel, Entra ID).
• Skills in data modeling, analysis, and visualization (Power BI, Fabric).
• Proficiency with flat file formats (CSV, TSV, JSON) and API-based data integration.
• Good documentation and communication skills.

Nice to Have:

• Experience with AWS and Google Cloud data services (Redshift, S3, BigQuery, Dataflow, etc.).
• Familiarity with additional ETL tools and Power BI connectors.
• Experience with automation and infrastructure as code (Terraform, PowerShell, YAML).
• Multi-cloud or hybrid environment experience.
• Relevant certifications (e.g., Microsoft Certified: Azure Data Engineer, AWS Certified Data Analytics).
• Experience in healthcare or regulated environments.