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Lead Data Engineer; Microsoft Fabric

Job in McKinney, Collin County, Texas, 75069, USA
Listing for: CX Data Labs
Full Time position
Listed on 2026-07-18
Job specializations:
  • IT/Tech
    Data Engineering
Job Description & How to Apply Below
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 One Lake, Lake houses, 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, One Lake shortcuts, and manage capacity settings to ensure cost-efficient performance. Data Ops & CI/CD:
Lead the integration of Fabric work spaces with Git (Azure Dev Ops/Git Hub) 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 One Lake, 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.
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