Fabric Data Lake Consultant/Architect
Role details
Job location
Tech stack
Job description
We are seeking an experienced Data Lake Consultant / Architect to evaluate, design, and support a modern data lake solution within the Azure ecosystem, with a strong preference for Microsoft Fabric. This consultant will play a key role in ensuring Power BI can efficiently consume data from the appropriate data lake sources and support analytics use cases. We are looking for a hands-on data professional who has either built a data lake from the ground up or evaluated and optimized existing data lake architectures., Assess and evaluate the current data lake architecture and make recommendations for improvements or modernization
Design and/or enhance a data lake solution using Microsoft Fabric and Azure services
Ensure data is properly structured, governed, and optimized for Power BI consumption
Collaborate with business and technical stakeholders to determine where data should reside and how it should be accessed
Support front-end analytics by ensuring Power BI reports are pulling from the correct data lake sources
Provide architectural guidance, best practices, and documentation around data ingestion, storage, and access
Partner with engineering and analytics teams to align data lake design with enterprise data strategy
$75/hr to $83/hr. - Exact compensation may vary based on several factors, including skills, experience, and education.
Requirements
Strong experience as a Data Lake Consultant or Data Architect
Deep knowledge of the Azure ecosystem, including data services
Hands-on experience with Microsoft Fabric (preferred)
Experience working with Power BI, including understanding how reports source data from data lakes
Proven experience either:
Building a data lake from scratch, or
Evaluating and improving an existing data lake solution
Strong understanding of data modeling, ingestion patterns, and analytics enablement Experience with Databricks (acceptable alternative)
Experience with Snowflake (acceptable, but Azure-first mindset is preferred)
Familiarity with enterprise data architecture, governance, and best practices
Prior consulting experience in data architecture or analytics environment