Certification Required: DP-700 (Microsoft Fabric Analytics Engineer Associate)
Lead Data Engineer (Microsoft Fabric)
Location: Dallas, TX (100% On-site | 5 Days Work from Office)
Experience: 10+ Years
Certification Required: DP-700 (Microsoft Fabric Analytics Engineer Associate)
Role Overview:
We are seeking a high-caliber Lead Data Engineer with a decade of experience to spearhead our transition into the Microsoft Fabric ecosystem. You will be responsible for designing and implementing end-to-end data solutions, leveraging OneLake, Lakehouses, and Warehouse architectures. As a Lead, you will provide technical governance, mentor junior engineers, and ensure our data platform is scalable, secure, and optimized for real-time analytics.
Key Responsibilities:
Architecture & Design: Design and build modern data architectures using Medallion Architecture (Bronze/Silver/Gold) within Microsoft Fabric.
Data Engineering: Develop complex data pipelines using Data Factory (Dataflows Gen2) and Fabric Notebooks (PySpark).
Semantic Modeling: Build and optimize high-performance Semantic Models and implement Direct Lake connectivity for seamless Power BI integration.
Governance & Security: Implement workspace-level security, OneLake shortcuts, and manage capacity settings to ensure cost-efficient performance.
DataOps & CI/CD: Lead the integration of Fabric workspaces with Git (Azure DevOps/GitHub) and manage deployment pipelines.
Leadership: Act as the subject matter expert (SME) for Microsoft Fabric, providing technical guidance to stakeholders and mentoring a team of data engineers.
Technical Qualifications:
Core Experience: 10+ years in Data Engineering, with a heavy focus on the Microsoft Azure Data Stack (ADF, Synapse, Databricks, SQL DW).
Fabric Expertise: Hands-on experience with OneLake, Lakehouse, Data Warehouse, and KQL Databases.
Advanced Querying: Expert-level proficiency in T-SQL, PySpark, and DAX.
Modeling Mastery: Proven experience in Star Schema design and dimensional modeling.
Certification: Mandatory DP-700 Certification. Other certifications like DP-203 (Azure Data Engineer) are a significant plus.
Preferred Soft Skills:
Strategic Thinking: Ability to map business requirements to technical architecture.
Communication: Excellent verbal and written skills to interact with global stakeholders.
Problem-Solving: A proactive approach to troubleshooting performance bottlenecks in a SaaS environment.