Microsoft Fabric Lead

Posted 25 Days Ago
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Dallas, TX, USA
In-Office
Expert/Leader
Big Data • Analytics • Business Intelligence • Big Data Analytics
The Role
Lead architecture and delivery of enterprise-scale data solutions on Azure with a focus on Microsoft Fabric. Design end-to-end data pipelines, ensure security and governance, translate business needs to technical specifications, and mentor engineering teams.
Summary Generated by Built In

Tiger Analytics is a global leader in AI and advanced analytics consulting, empowering Fortune 1000 companies to solve their toughest business challenges. We are on a mission to push the boundaries of what AI can do, providing data-driven certainty for a better tomorrow. Our diverse team of over 6,000 technologists and consultants operates across five continents, building cutting-edge ML and data solutions at scale. Join us to do great work and shape the future of enterprise AI.

We are seeking a highly experienced Microsoft Fabric Lead to design, oversee, and deliver robust, scalable data solutions. The ideal candidate will drive the overall architectural strategy and lead the technical execution of our data platform, with a strong focus on the integration, optimization, and best practices implementation of Microsoft Fabric.


Requirements
  • Lead the architecture and design of enterprise-scale data solutions on the Azure platform.
  • Serve as the subject matter expert for Microsoft Fabric, directing its implementation and best practices.
  • Develop end-to-end data pipelines, including ingestion, transformation, and storage strategies.
  • Collaborate with stakeholders to translate business requirements into technical specifications.
  • Ensure data security, governance, and compliance standards are met across all cloud environments.
  • Mentor junior architects and engineers on Azure cloud services and Fabric capabilities.

Qualifications:

  • Demonstrated 13+ years of experience serving as an Azure Solutions Architect or in a comparable senior technical leadership role.
  • Extensive hands-on experience with Microsoft Fabric, Power BI, Azure Synapse Analytics, and Azure Data Factory.
  • Strong understanding of Data Lakehouse architecture and Delta Lake.
  • Proficiency in SQL, Python, or Spark.

Benefits

Significant career development opportunities exist as the company grows. The position offers a unique opportunity to be part of a small, fast-growing, challenging and entrepreneurial environment, with a high degree of individual responsibility.

Tiger Analytics provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, national origin, ancestry, marital status, protected veteran status, disability status, or any other basis as protected by federal, state, or local law.

Top Skills

Azure
Azure Data Factory
Azure Synapse Analytics
Data Lakehouse
Delta Lake
Microsoft Fabric
Power BI
Python
Spark
SQL
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The Company
Bengaluru, Bengaluru
5,000 Employees
Year Founded: 2011

What We Do

Tiger Analytics is a global leader in AI and Analytics, helping Fortune 1000 companies solve their toughest challenges. We offer fullstack AI and analytics services & solutions to empower businesses to achieve real outcomes and value at scale. We are on a mission to push the boundaries of what AI and analytics can do to help enterprises navigate uncertainty and move forward decisively. Our purpose is to provide certainty to shape a better tomorrow. Our team of 4000+ technologists and consultants are based in the US, Canada, the UK, India, Singapore, and Australia, working closely with clients across CPG, Retail, Insurance, BFS, Manufacturing, Life Sciences, and Healthcare. We are Great Place to Work-Certified™ and have been recognized by analyst firms such as Forrester, Gartner, Everest, ISG, HFS, and others. Ranked among the ‘Best’ and ‘Fastest Growing’ analytics firms lists by Inc., Financial Times, Economic Times and Analytics India Magazine. In India, our offices are located in Chennai, Hyderabad and Bangalore.

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