Data Architect/Microsoft Fabric Architect / Implementation Lead
ANEKA TALENT SOLUTIONS CORP
Miami, United States of America
2 days ago
Role details
Contract type
Temporary to permanent Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Miami, United States of America
Tech stack
Artificial Intelligence
Business Logic
Data Architecture
Information Engineering
Data Infrastructure
ETL
Data Warehousing
JD Edwards EnterpriseOne
Microsoft Data Access Components
SQL Azure
Power BI
Azure
Azure
Microsoft Fabric
Operational Systems
Data Management
Azure
Requirements
They are looking for a senior-level Microsoft Fabric Architect / Implementation Lead to help drive the design and implementation of an enterprise data platform strategy.
- This is not an ETL developer role the client needs someone with a consultative mindset who can provide architectural vision, understand business logic, and help structure data environments for future AI and analytics initiatives.
- The ideal candidate will have strong experience with Microsoft Fabric, Azure data technologies, data warehousing/lakehouse architecture, and stakeholder-facing communication.
- Experience helping organizations modernize and prepare data platforms for AI enablement is highly preferred.
- Lead the end-to-end implementation of Microsoft Fabric, from initial tenant setup through production rollout and ongoing expansion.
- Seven or more years of experience in data platform, data engineering, or analytics architecture roles, with at least three years in a lead or architect capacity.
- Deep, hands-on experience with the Microsoft data stack, including Power BI, Azure Data Factory, Azure SQL, Azure Data Lake Storage, and Microsoft Fabric or Azure Synapse Analytics.
- Proven experience leading the implementation of an enterprise data platform from the ground up or through a significant expansion.
- Design the integration approach between Fabric and source systems, including JD Edwards, Azure SQL, operational systems, and third-party data sources.