Data Architect

Accion
United States
5 days ago
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Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Job source

Tech stack

Microsoft Azure System Configuration Continuous Integration Data Architecture Information Engineering Data Governance Data Integration Extract Transform Load (ETL) Data Warehousing Dimensional Modeling Key Management Metadata
+10 more
Microsoft SQL Server Role-Based Access Control SQL Databases Parquet Software Repository Microsoft Fabric Pyspark Git Flow Cosmos DB Oracle Integration

Job description

Remote - Immediate interviews for Data Architect with Microsoft Fabric experience - 6 months contract, We are seeking an experienced Microsoft Fabric Data Architect to lead the architecture and design of a modern enterprise data warehouse platform. The Data Architect will define the end-to-end data architecture across Bronze, Silver, and Gold layers and provide hands-on architectural guidance to the Fabric Platform Administrator during the Microsoft Fabric environment setup and configuration.

Requirements

The ideal candidate must combine strong Microsoft Fabric architecture expertise with practical experience in environment planning, workspace configuration, security, connectivity, CI/CD, data modeling, ingestion frameworks, and technical leadership., 13+ years of experience in data architecture, data engineering, data warehousing, or enterprise analytics. Strong hands-on experience with Microsoft Fabric. Experience designing Fabric Lakehouse, Warehouse, OneLake, notebooks, pipelines, and medallion architectures. Demonstrated experience guiding Microsoft Fabric environment setup and administration teams. Strong understanding of Fabric workspaces, capacity, RBAC, security, connectivity, monitoring, and deployment practices. Experience with Azure DevOps, Git repositories, branching strategies, and CI/CD pipelines. Strong knowledge of dimensional modeling, data warehousing, ETL/ELT, and data integration. Experience integrating Oracle, SQL Server, Cosmos DB, or comparable enterprise source systems. Experience with PySpark, SQL, Delta/Parquet, notebooks, and metadata-driven ingestion frameworks. Knowledge of Microsoft Purview, Entra ID, Azure Key Vault, and enterprise data governance. Excellent communication, documentation, stakeholder-management, and technical-leadership skills.

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