Principal Microsoft Fabric Engineer—Onsite—Phoenix, AZ

Key Responsibilities

? Lead the end-to-end buildout of Caterpillar’s Microsoft Fabric platform to support enterprise-scale dealer and corporate data integration.

? Translate architectural guidance from Caterpillar and Microsoft into executable engineering solutions, patterns, and frameworks.

? Design and implement scalable ingestion, transformation, and orchestration frameworks using Microsoft Fabric and Azure Data Factory.

? Architect and operationalize lakehouse and medallion architecture (Bronze / Silver / Gold) aligned to enterprise standards.

? Own data modeling strategy across the platform, ensuring models support analytics, reporting, and long-term maintainability.

? Apply appropriate modeling techniques including star schema, warehouse modeling, and hybrid approaches based on use case and customer maturity.

? Leverage Data Vault concepts selectively (primarily in Silver layer) for complex source system integration or MDM use cases.

? Ensure Gold-layer models remain business-friendly and optimized for analytics and reporting.

? Balance architectural tradeoffs across performance, scalability, maintainability, and customer adoption.

? Design solutions that customers can successfully operate post-handoff, favoring maintainable, SQL-friendly and low-code patterns where appropriate.

? Develop and maintain technical documentation, standards, and architecture artifacts within the TEKsystems Global Services delivery model.

Required Skills & Experience

Leadership & Architecture

Principal-level experience leading enterprise data platform builds or large-scale modernization initiatives. Proven ability to assess customer environments and recommend right-fit architectures. Strong ownership mindset for engineering decisions and delivery outcomes.

Microsoft Fabric Expertise

? Fabric Data Factory

? Pipelines and orchestration

? Fabric Lakehouse

? OneLake

? Fabric Warehouse and SQL endpoints

? Spark notebooks

Data Modeling & Analytics Enablement

Strong experience with dimensional modeling including star schema and warehouse modeling. Working knowledge of Data Vault concepts with experience applying hybrid approaches when appropriate. Ability to balance write-optimized ingestion layers with read-optimized analytics layers.

Data Engineering

Strong SQL, Spark, and data transformation skills. Experience building scalable cloud-based ingestion and transformation frameworks. Performance tuning and optimization experience across large datasets.

Preferred Experience

? Experience in distributed data ecosystems such as dealer networks or manufacturing environments.

? Prior involvement in enterprise Data & Digital transformation programs.

? Collaboration with Microsoft engineers or architects on Fabric or Azure data platform rollouts.

? Experience delivering platforms intended for long-term customer ownership and sustainability.

 

 

 

 

Warm Regards

Naga Raju | Talent Acquisition Partner-Lead

Tech Rakers Inc | nagarajup@techrakers.com