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Technical Lead – Platform and Data
General Dynamics Information TechnologyTechnical Platform and Data Lead responsible for Microsoft BI solutions in support of the HRSA OPTN Patient Safety program. Focused on data architectures and Azure implementations within a collaborative project setting.
Tech Stack
Tools & technologiesAzureCloudMS SQL ServerSparkSQLSSIS
About the role
Key responsibilities & impact- Designing & building data architectures including the design & set-up of scalable Modern Data Platforms incl. infrastructure-as-code, proper CICD, solid DevOps and the best-fit technologies for the use case.
- Working together with the BI developers deploying data pipelines & data transformations which turn the raw data into relevant datasets and insights (Azure).
- Working with Data Scientist deploying machine learning into scalable services in a perfect fit with the data architecture.
- Assisting the project team in deploying data applications including, if needed, close-to real-time architectures such as streaming pipelines (Spark Structured Streaming or Azure Functions).
Requirements
What you’ll need- Bachelor’s degree plus 10 years’ experience OR master’s degree plus 7 years’ experience; preferred degree in Computer Science or related area.
- Expert level understanding on Azure Data Factory, Azure Synapse, Azure SQL, Azure Data Lake, and Azure App Service is required.
- Expertise in Azure cloud services, and DevOps/CI/CD frameworks.
- 3+ years of Azure Databricks and Azure Data-factory.
- 3+ years of current experience with development and implementation of Microsoft SQL Server Integration Services (SSIS).
Benefits
Comp & perks- Comprehensive benefits and wellness packages
- 401K with company match
- Competitive pay and paid time off
- Full-flex work week to own your priorities at work and at home
- Paid leave and paid holidays including vacation, sick, personal time, and military leave
ATS Keywords
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Hard Skills & Tools
data architectureinfrastructure-as-codeCICDDevOpsdata pipelinesdata transformationsmachine learningstreaming pipelinesAzure DatabricksMicrosoft SQL Server Integration Services