Salary
💰 $160,700 - $200,000 per year
Tech Stack
AzureCloudETLInformaticaSQLTerraformUnity
About the role
- Who is Blueprint: technology solutions firm headquartered in Bellevue, Washington, uniting strategy and execution through technology
- What Blueprint does: helps organizations unlock value from assets by leveraging cutting-edge technology to create new revenue streams and business lines
- Role summary: Solutions Architect guiding clients through full lifecycle data platform modernization, focused on Azure Databricks and Unity Catalog
- Design cloud-native architectures for analytics and generative AI readiness, ensuring scalability, governance, and business impact
- Lead large-scale migrations from legacy ETL/ELT (Informatica, etc.) into modern, cloud-native environments
- Design and deliver ingestion, transformation, orchestration, and analytics using Azure Data Factory, Data Lake, Synapse, and Databricks
- Integrate Gen AI–powered solutions, develop prototypes/POCs, and produce solution blueprints
- Mentor and lead technical teams, partner with stakeholders, and contribute to presales and thought leadership
Requirements
- Strong, hands-on experience with Databricks (Azure preferred), including pipelines, notebooks/jobs, performance optimization, and cluster management
- Demonstrated experience with data migrations: Informatica, legacy ETL/ELT, or governance modernization (e.g., Unity Catalog)
- Solid foundation in SQL, data modeling, and data warehousing design patterns
- Strong expertise in Azure data services (Data Factory, Data Lake, Synapse, Azure Storage)
- Experience leading architectural discussions and mentoring cross-disciplinary technical teams
- Excellent communication skills, able to engage technical and non-technical audiences—including C-suite stakeholders
- Growth mindset and passion for emerging technologies, particularly AI and cloud-native data strategies
- Experience with CI/CD, Git-based workflows, and infrastructure-as-code (Terraform, ARM, Bicep) (preferred)
- Prior contributions to presales, technical writing, or community knowledge sharing (preferred)
- Background in data governance, security, and FinOps in Azure (preferred)
- Exposure to Gen AI frameworks, ML model integration, or AI-driven analytics (preferred)