Microsoft Fabric Data Architect

Robert Walters plc

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

computerjobs.com

Tech stack

Data Architecture Data Discovery Data Warehousing Microsoft SQL Server Operational Databases Power BI Data Streaming Parquet Azure Data Factory Microsoft Fabric Data Lakes Pyspark

+4 more

Star Schema Data Lakehouse Cloud Migration Azure Synapse Analytics

Job description

Data Discovery: Conduct a comprehensive audit of existing Legacy financial platforms, operational databases, and third-party data streams.
Blueprint & Strategy: Define the target state data architecture blueprint, governance models, and migration roadmap tailored for Microsoft Fabric.
Medallion Architecture Design: Build a scalable Data Lakehouse strategy utilizing Delta Lake and the Medallion architecture paradigm (Bronze, Silver, Gold layers).
System Migration: Architect and oversee the migration frameworks to seamlessly transition existing Business Intelligence and data warehouse platforms into Fabric.
Stakeholder Engagement: Collaborate closely with C-suite stakeholders and financial business units to translate commercial requirements into technical pipelines.

Requirements

Microsoft Fabric Expertise: Deep, hands-on architectural experience with the Microsoft Fabric ecosystem (OneLake, Lakehouses, Warehouses, Data Factory, and Real Time Intelligence).
Enterprise Architecture: Proven track record of delivering end-to-end data blueprints, technical discovery documents, and cloud migration strategies.
Data Modelling: Mastery of Medallion architecture design, Delta Parquet formatting, Star Schema, and Kimball data warehousing methodologies.
Industry Context: Prior experience working within Financial Services, Asset Finance, or Banking is highly advantageous (understanding regulatory compliance, financial data structures, and auditing).
Technical Stack: Strong experience with Azure Synapse, Azure Data Factory, SQL Server, PySpark, and advanced Power BI deployment.