Cloud Data Platform Architect jobs in United States
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Scalence L.L.C. · 3 weeks ago

Cloud Data Platform Architect

Scalence L.L.C. is seeking a Cloud Data Platform Architect in Hamilton, NY. The role involves leveraging cloud technologies to drive data-driven decision-making and innovation, focusing on designing data models and building scalable data pipelines.

Information Technology & Services
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Responsibilities

Collect data from multiple sources including on-prem, cloud, and APIs
Build scalable ingestion pipelines using Azure Data Factory or Event Hub
Clean, normalize, and enrich data for analytics and implement business logic in ETL/ELT workflows
Design and maintain Data Lake and Data Warehouse, optimizing for cost and performance
Monitor pipelines and optimize for speed and cost, scaling resources dynamically using Azure features

Qualification

Azure servicesSQL (T-SQL)Data modelingPythonRBAC implementationData encryptionAzure MonitorCompliance knowledgeCollaboration

Required

Applicants must be able to work directly for Artech on W2
Deep understanding of Azure services such as Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage, Azure SQL Database, and Azure Event Hub
Experience in designing data models for structured and unstructured data
Proficiency in SQL (T-SQL for Azure SQL), Python or Scala for Databricks, and PowerShell for automation
Experience with implementing RBAC, data encryption, and compliance
Ability to use Azure Monitor and Log Analytics for monitoring and optimization

Preferred

Experience with Spark on Databricks for large-scale data processing
Knowledge of data governance policies and ensuring compliance with regulations like GDPR and HIPAA
Ability to collaborate effectively with Data Scientists, BI Developers, and Architects

Benefits

Inclusive and diverse work environment.
Opportunities for professional growth and development.
Supportive team culture that values collaboration and innovation.

Company

Scalence L.L.C.

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In today’s dynamic and competitive market, success hinges on mastering three key areas: Data Intelligence, Business Resilience, and Digital Experience.

Funding

Current Stage
Late Stage
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