Job Openings Microsoft Fabric Consultant

About the job Microsoft Fabric Consultant

Are you looking for a new job as a Data Engineer in a growing software company developing solutions for the international market? Do you want to work in a team with experienced colleagues that not only help you deliver great solutions for our customers, but that can also help you build out your own career? If so, then check out this position as a Data Engineer at Dynamicweb. We offer the following: - A full-time position - A flexible work schedule - Plenty of opportunities to grow 

 Job Objectives:

We are seeking a highly experienced Microsoft Fabric Expert with deep, hands‑on expertise across the entire Microsoft Fabric ecosystem. The ideal candidate is a recognized specialist in Microsoft Fabric architecture, Data Engineering, Power BI, and OneLake, capable of designing and delivering enterprise‑grade, end‑to‑end analytics solutions.

Tasks:

  • Architect, design, and implement enterprise‑scale analytics solutions using Microsoft Fabric as the core platform.
  • Define best practices, governance models, and operating frameworks for Fabric capacities, workspaces, domains, and pipelines.
  • Lead migration strategies from legacy data platforms to Fabric (e.g., Azure Data Lake, Synapse, SQL, Power BI).
  • Build and optimize Data Engineering pipelines using Dataflows Gen2, Pipelines, Lakehouses, Notebooks, and Warehouse objects.
  • Implement medallion architecture, delta tables, ingestion frameworks, and Fabric pipelines.
  • Manage, optimize, and partition large‑scale datasets for performance and cost efficiency.
  • Design and manage OneLake data architecture, shortcuts, security layers, domains, and storage policies.
  • Implement governance frameworks including data security, sensitivity labels, RBAC, data lineage, and cataloging.
  • Optimize OneLake usage across multi‑domain analytics environments.
  • Build highly optimized Power BI semantic models connected to Fabric Lakehouses/Warehouses.
  • Implement enterprise BI practices—data modeling, row‑level security, incremental refresh, composite models, Direct Lake.
  • Provide performance tuning and best practices for large datasets and complex reporting scenarios.
  • Work closely with business stakeholders, data scientists, domain leads, and engineering teams to translate business needs into Fabric‑based solutions.
  • Provide mentoring, technical leadership, and subject‑matter expertise to internal teams.
  • Stay current with Microsoft's evolving Fabric roadmap and bring innovative capabilities into the organization. 

 

Required Knowledge and Skills:

    • 4+ years of total experience in Data Engineering / BI / Analytics.
    • Certification or  hands‑on with Microsoft Fabric (early adoption is a big plus).
    • Strong background in modern data platforms—Azure Data Lake, Synapse, Databricks (preferred but not mandatory).
    • Microsoft Certifications (Fabric, Azure, Power BI) are a plus.
    • Very deep, hands‑on expertise in Microsoft Fabric—Medallion architecture, features, governance, engineering, and analytics.
    • Advanced experience with OneLake, shortcuts, security, governance, and workspace management.
    • Strong Data Engineering background with deep knowledge of Delta Lake, PySpark, Fabric Notebooks, Pipelines, Copy job.
    • Expert in Power BI, including data modeling, DAX, Direct Lake, incremental refresh, and governance.
    • Proven experience in building end‑to‑end analytics solutions on Fabric.
    • Ability to design enterprise‑scale architectures.
    • Strong communication and stakeholder engagement.
    • Experience mentoring technical teams and driving technology adoption.

Preferred Skills:

    • Fabric Lakehouses, Warehouses, KQL Databases, Real‑time Analytics
    • Data Pipelines, Dataflows Gen2, Spark Notebooks
    • Medallion architecture, ETL/ELT frameworks
    • Azure AD / Entra ID, security, and data governance
    • SQL, Python, DAX, M Query
    • DevOps, CI/CD for Fabric & Power BI (bonus)


Work Environment:

  • Work is typically performed in our offices or WFH ( work from home )
  • Strong collaboration with our team through Jira,Microsoft Devops, Microsoft Teams, ZOOM,  GoToMeeting, email, and occasionally in person
  • Service clients across (APAC) with a network of international partners that span multiple time zones


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