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Azure Cloud Architect

Seattle, WA
For over 30 years, our client has been helping Pacific Northwest-based employers administer their own health plans.

How YOU will make a Difference:

You’ll be part of the IT team and work closely with team members on a number of exciting projects and programs that will have a positive impact on HMA’s business. 

What YOU will do: 
  • Support and administer Microsoft Azure technologies and services
  • Implement best practices in Azure architecture, data transformation and warehousing to ensure optimal system performance and scalability
  • Administer Azure environments, networking and security
  • Author Azure data extraction and transformation solutions including ETL, CI/CD pipelines
  • Coach and cross train development team members in Azure technologies

Knowledge, Experience, and Key Attributes needed for Success: 
  • Bachelor's Degree (Business, Information Systems (IS), Computer Science or related field) required 
  • 2+ years of experience with a range of Azure-based data & analytics platforms like Azure Data Warehouse, Azure Cosmos DB, Azure MONGO DB
  • Azure Dev Ops experience creating/managing release pipeline and deployment processes
  • Node JS, Azure CLI experience necessary
  • Highly versed in administration of Azure services including infrastructure management (utilization of ARM templates and HELM to manage resources), Networking, Analytics, etc.
  • Knowledge of data models, ETL and data warehouse concepts and processes
  • Ability to assist team members with functional and data requirements to create and enhance data models and pipelines
  • Hands-on experience building processes supporting data transformation, data structures, metadata, dependency and workload management.
  • Experience building highly compliant systems
  • Understanding of Agile SCRUM Methodology

Additional Skills for Success:  
  • Microservices Architecture
  • Rest API
  • Kubernetes
  • SQL programming including data transformation and query optimization
  • Expertise in database concepts, including normalization, indexing, physical and logical modelling, creation of SQL queries and performance tuning.

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