Microsoft Fabric-Technical Architect Fabric (Implementation)
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Microsoft Fabric-Technical Architect with 18-20 years of experience, focusing on data architecture design, Azure services, ETL/ELT, and data governance. Contract length is unspecified, with a competitive pay rate. Certifications in Azure Data Engineering preferred.
🌎 - Country
United States
💱 - Currency
$ USD
💰 - Day rate
Unknown
Unknown
🗓️ - Date discovered
May 7, 2025
🕒 - Project duration
Unknown
🏝️ - Location type
Unknown
📄 - Contract type
Unknown
🔒 - Security clearance
Unknown
📍 - Location detailed
Columbus, Ohio Metropolitan Area
🧠 - Skills detailed
#Data Integration #GDPR (General Data Protection Regulation) #Automation #Migration #Dataflow #Data Catalog #Agile #Batch #DevOps #BI (Business Intelligence) #Scala #Data Architecture #Synapse #Data Quality #DAX #SQL (Structured Query Language) #Data Lake #Scripting #Data Management #Azure DevOps #Data Engineering #Data Privacy #Storage #Data Governance #Oracle #GitHub #Metadata #"ETL (Extract #Transform #Load)" #Teradata #Data Processing #Security #Python #Physical Data Model #Cloud #Compliance #SQL Server #Data Pipeline #Azure #Microsoft Power BI #Data Warehouse
Role description
Expertise with minimum 8+ projects (18+ Yrs exp.)
Data Architecture Design:
1.Expertise in designing scalable and modular data architectures (Data Lake + Data Warehouse)
2.Experience creating conceptual, logical, and physical data models
Azure & Microsoft Fabric:
3.Strong knowledge of Microsoft Fabric components (Lakehouse, Dataflows, Pipelines, etc.)
4.Proficient with Azure services: Synapse, Data Factory, Data Lake Storage, SQL DB, etc.
ETL/ELT & Data Integration:
5.Experience designing and implementing data pipelines for extraction, transformation, and loading from diverse sources
6.Familiarity with both batch and real-time data processing
Data Governance & Management:
7.Understanding of data quality frameworks, metadata management, lineage, and access control
8.Ability to define and enforce governance policies
Performance Optimization:
9.Tuning ETL jobs, optimizing data models, and improving query performance
Stakeholder Communication:
10.Ability to translate business requirements into technical solutions
11.Experience serving as a single point of contact for clients on technical delivery
Modern Data Platforms Migration:
12.Experience in modernizing legacy data warehouses to cloud-native platforms
Well-architected Framework
1. Best design/coding practices
1. Experience in working in a challenging environment with unclear requirements and contributing collaboratively with the team to refine the requirements
15, Ability to offer innovative ideas/solutioning, that are modern and effective.
18 to 20 years
1.Legacy DW Experience: Familiarity with traditional platforms like Teradata, Netezza, Oracle, or SQL Server.
2.Power BI: Working knowledge of Power BI for reporting, semantic model design, and DAX.
3.CI/CD & DevOps: Exposure to deploying data pipelines via Azure DevOps or GitHub Actions.
4.Security & Compliance: Understanding of data privacy, encryption, and regulatory standards (e.g., GDPR, HIPAA).
5.Data Catalogs: Experience with Microsoft Purview or other metadata management tools.
6.Agile Methodology: Comfort with Agile project delivery and sprint-based planning.
7.Scripting & Automation: Ability to use SQL, PowerShell, or Python for automation or tooling support.
8.Certifications:
Preferred: Microsoft Certified: Azure Data Engineer Associate
Additional beneficial certifications: DP-600 (Microsoft Fabric Analytics Engineer)/DP-700, DP-203 (Azure Data Engineer), Azure Solutions Architect Expert, or equivalent cloud/data certifications.
Expertise with minimum 8+ projects (18+ Yrs exp.)
Data Architecture Design:
1.Expertise in designing scalable and modular data architectures (Data Lake + Data Warehouse)
2.Experience creating conceptual, logical, and physical data models
Azure & Microsoft Fabric:
3.Strong knowledge of Microsoft Fabric components (Lakehouse, Dataflows, Pipelines, etc.)
4.Proficient with Azure services: Synapse, Data Factory, Data Lake Storage, SQL DB, etc.
ETL/ELT & Data Integration:
5.Experience designing and implementing data pipelines for extraction, transformation, and loading from diverse sources
6.Familiarity with both batch and real-time data processing
Data Governance & Management:
7.Understanding of data quality frameworks, metadata management, lineage, and access control
8.Ability to define and enforce governance policies
Performance Optimization:
9.Tuning ETL jobs, optimizing data models, and improving query performance
Stakeholder Communication:
10.Ability to translate business requirements into technical solutions
11.Experience serving as a single point of contact for clients on technical delivery
Modern Data Platforms Migration:
12.Experience in modernizing legacy data warehouses to cloud-native platforms
Well-architected Framework
1. Best design/coding practices
1. Experience in working in a challenging environment with unclear requirements and contributing collaboratively with the team to refine the requirements
15, Ability to offer innovative ideas/solutioning, that are modern and effective.
18 to 20 years
1.Legacy DW Experience: Familiarity with traditional platforms like Teradata, Netezza, Oracle, or SQL Server.
2.Power BI: Working knowledge of Power BI for reporting, semantic model design, and DAX.
3.CI/CD & DevOps: Exposure to deploying data pipelines via Azure DevOps or GitHub Actions.
4.Security & Compliance: Understanding of data privacy, encryption, and regulatory standards (e.g., GDPR, HIPAA).
5.Data Catalogs: Experience with Microsoft Purview or other metadata management tools.
6.Agile Methodology: Comfort with Agile project delivery and sprint-based planning.
7.Scripting & Automation: Ability to use SQL, PowerShell, or Python for automation or tooling support.
8.Certifications:
Preferred: Microsoft Certified: Azure Data Engineer Associate
Additional beneficial certifications: DP-600 (Microsoft Fabric Analytics Engineer)/DP-700, DP-203 (Azure Data Engineer), Azure Solutions Architect Expert, or equivalent cloud/data certifications.
