About BerryBytes

BerryBytes is a DevOps and cloud services partner helping clients modernize their infrastructure, adopt AI-driven workflows, and unlock data-driven decision-making. We work across Azure, AWS, and modern data platforms to deliver scalable, secure solutions for enterprise clients. This engagement is part of our growing data analytics practice.

Role Overview

We are looking for an experienced Microsoft Fabric & Data Platform Consultant to join a client-facing project. You will design, build, and optimize end-to-end data solutions using Microsoft Fabric, Azure data services, and Tableau. The ideal candidate brings hands-on production experience — not just platform familiarity — and can work independently with minimal oversight.

Key Responsibilities

• Design and implement data pipelines using Microsoft Fabric (Data Factory, Lakehouse, Warehouse, OneLake)
• Build and optimize data models, semantic layers, and Direct Lake Power BI integrations
• Architect and manage Azure data services including Azure Data Lake Storage, Azure Synapse, and Azure Data Factory
• Develop interactive Tableau dashboards and reports connected to Fabric and Azure data sources
• Define and enforce data governance, workspace management, and security policies within Fabric
• Collaborate with client stakeholders to gather requirements and translate them into scalable data architecture
• Conduct performance tuning and troubleshooting across pipelines, queries, and reporting layers
• Produce technical documentation — architecture diagrams, data flow maps, and runbooks
• Support data migration from legacy platforms (on-prem SQL, Azure SQL DW) to Fabric Lakehouse Warehouse

Required Skills & Experience

Microsoft Fabric (must-have):

• Hands-on production experience with Microsoft Fabric — OneLake, Lakehouse, Data Warehouse, Notebooks, and Pipelines
• Proficiency in Direct Lake mode for Power BI and multi-workspace governance
• Experience with Fabric security models, capacity management, and workspace admin

Azure Data Platform:

• Strong working knowledge of Azure Data Lake Storage Gen2, Azure Data Factory, and Azure Synapse Analytics
• Experience with Azure DevOps pipelines for CI/CD of data assets
• Familiarity with Azure Entra ID (AAD) and role-based access control for data resources

Tableau:

• Proficient in Tableau Desktop and Tableau Server/Cloud for enterprise reporting
• Ability to connect Tableau to Fabric and Azure SQL sources with performant live or extract connections
• Dashboard design skills with a focus on business usability

General:

• Strong SQL skills (T-SQL and/or Spark SQL)
• Experience with Python or PySpark for data transformation in notebooks
• Ability to document architectures clearly and communicate with non-technical stakeholders

Nice to Have

• Microsoft Certified: Fabric Analytics Engineer Associate (DP-600) or equivalent
• Experience with Tableau Prep for data preparation workflows
• Familiarity with dbt (data build tool) within Fabric or Azure environments
• Exposure to LLM/AI integrations on Azure (Azure OpenAI, Copilot in Fabric)
• Prior experience with DevOps consulting engagements or client-facing delivery