Fabric Data Lake Consultant/Architect

Insight Global
Austell, United States of America
14 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English

Job location

Austell, United States of America

Tech stack

Azure
Data as a Services
Data Architecture
Power BI
Data Ingestion
Snowflake
Data Strategy
Microsoft Fabric
Data Lake
Databricks

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

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