MS Fabric Data Architect Engineer
Stellent IT LLC
United States
about 1 month ago
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Role details
Contract type
Temporary to permanent
Employment type
Full-time (> 32 hours)
Experience level
Expert
Working hours
Regular working hours
Job source
Tech stack
Application Programming Interfaces (APIs)
Artificial Intelligence
Application Integration Architecture
Architectural Patterns
Microsoft Azure
Business Systems
Program Optimization
Continuous Integration
Data Architecture
Information Engineering
Data Governance
Data Infrastructure
+15 more
Extract Transform Load (ETL)
Data Warehousing
Encompass
Meta-Data Management
Salesforce.Com
Data Streaming
Systems Integration
Event Driven Architecture
Build Management
Microsoft Fabric
Data Management
Stream Processing
Data Pipelines
Legacy Systems
Databricks
Job description
- Lead architecture design across Microsoft Fabric / Lakehouse
- Perform cost-benefit analysis of Azure/Fabric services
- Design and build data pipelines, data models, and transformations
- Implement CI/CD pipelines for data engineering workflows
- Ensure data governance using Purview
- Integrate upstream/downstream systems and optimize performance
- Collaborate with stakeholders and support documentation *, Supporting a fintech client modernizing their data platform within Microsoft Fabric. This role will act as a hands-on lead, partnering closely with the internal Data Architect to drive architecture decisions and accelerate delivery.
Requirements
- Proven experience leading enterprise data modernization initiatives, including transitioning from legacy platforms to modern cloud-native architectures while ensuring business continuity and operational stability.
- Strong expertise designing and governing enterprise data models across platforms such as Encompass, Salesforce, HappyFox, Polly, and other operational/business systems.
- Deep understanding and hands-on experience implementing Medallion Architecture patterns (Bronze / Silver / Gold) within modern data platforms such as Microsoft Fabric, Azure, or Databricks.
- Experience establishing enterprise data standards including naming conventions, metadata management, lineage, and reusable architectural patterns.
- Expertise designing scalable Lakehouse and Data Warehouse architectures optimized for analytics, reporting, governance, and AI/ML workloads.
- Strong knowledge of application integration and support architectures, including APIs, event-driven design, streaming pipelines, and real-time data processing.
- Ability to partner closely with engineering teams to support solution design, development delivery, platform optimization, and production support.
- Experience implementing Data Governance, Data Quality, Master Data Management (MDM), and compliance frameworks to ensure trusted and reliable enterprise data., * Strong experience with Microsoft Fabric + Lakehouse architecture
- Experience with Purview and data governance
- Hands-on with ETL/ELT, data warehousing, and pipelines
- Experience with CI/CD for data platforms
- Strong knowledge of Azure services and integrations
- Ability to operate both strategically (architecture) and hands-on
Nice to Have:
- Azure Document Intelligence
- AI/data enablement exposure
- Financial services or regulated environment experience
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