Senior Microsoft Fabric Data Engineer

Diversified•Atlanta, GA

About The Position

The Senior Microsoft Fabric Data Engineer is responsible for architecting, implementing, and optimizing enterprise-scale data solutions using the Microsoft Fabric platform. This role designs modern lakehouse and warehouse architecture, integrates operational systems via Synapse Link, and helps to ensure strong data governance and compliance through Microsoft Purview. This role partners closely with analytics teams and business stakeholders to deploy features that support advanced reporting, self-service analytics, and AI-driven insights.

Requirements

5+ years of experience in data engineering, data warehousing, or analytics engineering.
2+ years of hands-on experience with Microsoft Fabric.
Experience designing lakehouse architectures at enterprise scale.
Proficiency in SQL, Python, Spark, etc.
Experience deploying and managing Microsoft Purview for governance and lineage.
Understanding of Azure identity and security (Azure AD/Entra ID, RBAC, managed identities, security principals).
Understanding of Azure/Fabric billing and utilization analysis.
Experience with CI/CD pipelines (Azure DevOps or GitHub Actions).
Strong analytical and problem-solving skills.
Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field (or equivalent education and experience).

Nice To Haves

Microsoft certifications (e.g., Fabric Analytics Engineer Associate, Azure Data Engineer Associate).
Experience with Synapse Link.
Experience with DataBricks
Experience with MDM platforms (esp. Profisee).
Experience leveraging data assets from various systems including Microsoft Dynamics 365, PowerBI, SharePoint, Smartsheet, ConnectWise, ExperLogix, D-Tools, ServiceNow
Experience integrating streaming or near real-time data workloads.
Familiarity with PowerBI semantic models and enterprise BI governance.
Experience implementing data quality frameworks and metadata-driven pipelines.
Knowledge of Delta Lake and open table formats.
Master’s degree in a quantitative or technical discipline.

Responsibilities

Design and implement enterprise data solutions using Microsoft Fabric, including Lakehouse, Warehouse, Dataflows Gen2, Pipelines, Notebooks, MS Graph, and Real-Time Analytics.
Develop medallion or similar data architectures within OneLake.
Optimize performance, cost, and scalability across Fabric workloads.
Establish CI/CD processes and DevOps practices for Fabric deployments.
Integrate source systems (ERP, CRM, operational databases) using Fabric, Synapse Link, MDMs, and other ingestion frameworks.
Build and maintain robust ETL/ELT pipelines using Fabric Data Factory capabilities.
Design dimensional and semantic models to support PowerBI and enterprise analytics.
Implement enterprise data governance using Microsoft Purview, including data cataloging and lineage, classification and sensitivity labeling, and policy enforcement and access controls (eg., RBAC).
Ensure regulatory compliance (eg., GDPR, SOC 2).
Monitor and optimize system performance, reliability, and availability.
Establish logging, alerting, and observability practices.
Support incident response and root-cause analysis for production workloads.
Translate business requirements into technical architecture.
Collaborate with analytics, BI, data science, and application development teams.