Senior MS Fabric Architect — Enterprise Data & AI

Ciklum

United States

On-site

USD 140,000 - 210,000

Full time

5 days ago

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Job summary

Ciklum is seeking an Enterprise Microsoft Fabric Architect to lead the data architecture for a modern analytics platform in Charlotte, NC. The role combines hands-on technical leadership with enterprise strategy to deliver scalable data products and AI-ready foundations.

You will guide modernization efforts, establish patterns for data ingestion, modeling, and security, and collaborate across global teams to ensure trusted, reusable data assets for Power BI and AI use cases.

Qualifications

10+ years of experience in data architecture, data engineering, or analytics.
Strong hands-on experience with Microsoft Fabric, including OneLake, Lakehouse or Warehouse, pipelines, Spark, Power BI, and semantic models.
Strong knowledge of data modeling, medallion architecture, enterprise integration, metadata, lineage, security, and governance.
Experience designing cloud data platforms that serve reporting, analytics, APIs, or modern applications.
Working knowledge of how enterprise data supports generative AI and machine learning, including secure access, grounding, and retrieval.
Ability to move between strategy and implementation and communicate effectively with engineers, business partners, and senior leaders.
Experience with Azure AI services, Azure OpenAI, Microsoft Copilot, or Fabric Data Science.
Experience supporting React or other modern applications through APIs or embedded analytics
Experience integrating or modernizing data from SAP, Salesforce, or other large enterprise platforms.

Responsibilities

Set the architecture and technical direction for our Microsoft Fabric platform.
Define practical, reusable patterns for data ingestion, transformation, Lakehouse and Warehouse design, data modeling, semantic models, security, and governance.
Ensure trusted data and business logic can be reused across Power BI, React-based applications, APIs, and AI solutions.
Build an AI-ready data foundation with quality, metadata, lineage, context, and controls for generative AI and ML use cases.
Guide modernization of legacy data platforms into Microsoft Fabric while balancing delivery speed, reliability, performance, and cost.
Partner with data, application, security, architecture, and business teams from solution design through production.
Mentor engineers, review key designs, and communicate architecture decisions and tradeoffs clearly to technical teams and senior leaders.