Data Architect Mid Level

Data Architect – Mid-Level

Immediate openings for a Data Architect – Mid-level to work in support of the Centers for Disease Control and Prevention (CDC). The Data Architect – Mid-level role is responsible for working with a diverse set of stakeholders to:

• Create cloud data models and database architecture using database deployment, monitoring automation code, and for long term technical viability of cloud master data management integrated repositories.
• Creating data flow diagrams
• Suggest ideas to improve system performance and cost reduction
• Communicate data architecture to stakeholders and collaborate and coordinate with other technical staff

Technical experience: Bachelor’s and following related experience:

• Experience with creating Data Dependency, Data Structures and Data Access controls
• Experience with integrating various Data ingress points, data ingestion and Data Quality
• Experience is using the Azure/AWS native cloud services for data
• Experience in Data migration strategy
• Experience with Azure Data Factory, Azure Databricks, and Azure SQL
• Experience developing and deploying ETL solutions on Azure/AWS
• Extensive hands-on experience implementing data migration and data processing on a cloud environment

Preferred Experience in one or more skill areas:

• Azure DevSecOps: Azure Boards, Azure Pipeline based CI/CD software releases and code branch workflow
• Azure Repo based code repository management and security.
• Experience working with Azure native services such as Synapse, Data Lake Storage, Alation, and Power BI
• Azure Cloud Data Solution certifications or equivalent
• Extensive hands-on experience implementing data migration and data processing on a cloud environment using Azure services: ADLS, Azure Data Factory, Azure Functions, Synapse/DW, Azure SQL DB, Event Hub, Azure Stream Analytics, Azure Analysis Service, HDInsight, Databricks Azure Data Catalog, Cosmo Db, ML Studio, AI/ML, etc.