MS Fabric Lead

Work set-up: 
Full Remote
Contract: 
Experience: 
Mid-level (2-5 years)
Work from: 

Offer summary

Qualifications:

Minimum 10 years of IT experience with at least 3 years in Microsoft Fabric and Azure data stack., Strong expertise in Microsoft Fabric components like Data Engineering, Data Science, and Real-Time Analytics., Proficiency in Power BI for developing dashboards and enterprise reports., Experience with Azure Synapse, Data Factory, and Data Lake Storage (Gen2)..

Key responsibilities:

  • Lead the architecture, development, and deployment of enterprise data platforms using Microsoft Fabric and Azure services.
  • Design and implement data solutions including Data Lake, Lakehouse, and Real-Time Analytics systems.
  • Manage scalable data pipelines ensuring high performance and data integrity.
  • Develop data visualizations and dashboards to support business intelligence and analytics.

Weekday (YC W21) logo
Weekday (YC W21)
11 - 50 Employees
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Job description

This role is for one of the Weekday's clients

Salary range: Rs 1500000 - Rs 2500000 (ie INR 15-25 LPA)

Min Experience: 10 years

Location: Remote (India)

JobType: full-time

We are seeking a highly experienced Microsoft Fabric Lead to architect and deliver scalable, modern data solutions across the Azure ecosystem. In this role, you will lead the design, development, and implementation of end-to-end data platforms leveraging Microsoft Fabric, with a strong emphasis on data ingestion, storage, transformation, and visualization. You will play a key leadership role in modernizing data landscapes through cutting-edge tools such as Data Lake, Lakehouse, Real-Time Analytics, Power BI, and Synapse, driving data democratization and decision intelligence across the organization.

As the Fabric Lead, you will collaborate closely with business stakeholders, data scientists, engineers, and analysts to ensure seamless integration of business intelligence pipelines. You will champion best practices in data engineering and provide strategic technical leadership on data platform modernization projects, aligning with enterprise-wide digital transformation initiatives.

Requirements

Key Responsibilities
  • Lead the end-to-end architecture, development, and deployment of enterprise data platforms using Microsoft Fabric and related Azure services.
  • Design robust data solutions including Data Lake, Lakehouse, and Real-Time Analytics systems to support business intelligence and advanced analytics use cases.
  • Build and manage scalable data pipelines using Azure Data Factory, ensuring high performance and data integrity across ingestion and transformation processes.
  • Implement and optimize Synapse Analytics workloads for large-scale data warehousing and near real-time querying.
  • Develop advanced data visualizations, dashboards, and reporting tools using Power BI, integrating insights directly with business functions.
  • Integrate disparate data sources and ensure smooth data flow and orchestration across cloud environments.
  • Provide hands-on leadership and mentorship to data engineers, analysts, and cross-functional stakeholders.
  • Ensure governance, security, and compliance of all data operations within Azure cloud infrastructure.
  • Drive performance tuning, cost optimization, and system resilience for mission-critical data applications.
  • Stay current with emerging technologies and patterns in cloud data architecture, advocating for their strategic adoption.

Required Skills & Experience
  • 10–14 years of total IT experience, with at least 3+ years in Microsoft Fabric and Azure data stack.
  • Proven expertise in Microsoft Fabric, including components such as Data Engineering, Data Science, and Real-Time Analytics.
  • Strong command over Power BI – building complex dashboards, DAX queries, and enterprise-level reports.
  • Deep understanding of Azure Synapse, Azure Data Factory, and Azure Data Lake Storage (Gen2).
  • Experience in designing and implementing Lakehouse architectures for structured and unstructured data.
  • Solid grasp of data modeling, data integration patterns, and cloud-native development practices.
  • Proficiency in performance tuning, debugging, and optimization across the Azure data ecosystem.
  • Strong leadership, communication, and stakeholder management skills.

Preferred Qualifications
  • Microsoft Certified: Azure Solutions Architect, Azure Data Engineer, or similar certifications
  • Background in data governance, MLOps, or enterprise-wide data migration projects
  • Experience working in agile, product-based, or DevOps-driven environments

Required profile

Experience

Level of experience: Mid-level (2-5 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.

Other Skills

  • Communication
  • Leadership

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