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Fabric Platform Engineer

Job in Buckeye, Maricopa County, Arizona, 85326, USA
Listing for: Flex Technology Group
Full Time position
Listed on 2026-10-30
Job specializations:
  • IT/Tech
    Data Engineering, Information Security & Data Protection
Salary/Wage Range or Industry Benchmark: 90000 - 120000 USD Yearly USD 90000.00 120000.00 YEAR
Job Description & How to Apply Below
Build What’s Next With FlexTG

FlexTG is the nation’s largest brand-neutral Managed Print Services provider, bringing together technology, data, automation, and an unmatched national service organization to solve real business challenges for customers across the country.

Description Fabric Platform Engineer

FlexTG is the nation’s largest brand-neutral Managed Print Services provider, bringing together technology, data, automation, and an unmatched national service organization to solve real business challenges for customers across the country.

And we’re still building.

At FlexTG, you’ll have the opportunity to bring new ideas forward, explore better ways of doing things, and make a meaningful impact alongside people who value collaboration, curiosity, and different perspectives.

If you’re excited by technology, energized by possibility, and ready to grow, there’s a place for you at FlexTG.

Work Location

This position is 100% remote for candidates who live more than a 60-minute, one-way commute from a FlexTG office.

Candidates who live within a 60-minute, one-way commute of a FlexTG office will work a hybrid schedule and are expected to be in the office three days per week.

Compensation

The salary range for this position is $90,000-$120,000 annually, depending on experience (DOE).

Work Authorization

Individuals who require sponsorship for work authorization now, or in the future, are not eligible for hire for this role.

Position Summary

The Fabric Platform Engineer is responsible for designing, building, and supporting the ongoing operation of the organization’s Microsoft Fabric data platform.

This role focuses on the development of scalable data architecture, pipelines, and platform capabilities to support analytics, reporting, and AI use cases. The position supports the ongoing maturity of the Fabric platform by implementing governance practices, improving performance and reliability, and helping enable trusted, organization-wide data access.

This role partners closely with Data Analysts, Database Administrators, Data Governance teams, and other stakeholders to deliver high-quality, business-ready data solutions.

Essential Functions And Responsibilities
  • Design, build, and support the ongoing operation of the Microsoft Fabric data platform, applying architecture patterns, governance practices, and platform standards.
  • Support the buildout and evolution of the Fabric environment, including workspace structure, data architecture, and deployment patterns.
  • Design and operate end-to-end data pipelines (ETL/ELT) within Microsoft Fabric.
  • Develop scalable ingestion frameworks for structured and unstructured data.
  • Orchestrate ingestion using Azure Data Factory (ADF) and Fabric pipelines, landing data into One Lake.
  • Implement batch and near real-time processing pipelines.
  • Transform and manage data through the Medallion architecture (Bronze, Silver, Gold).
  • Apply established standards for data modeling, storage, transformation, and platform usage.
  • Manage Lakehouse structures and ensure alignment with enterprise data architecture.
  • Ensure platform scalability, resiliency, and cost efficiency.
  • Deliver curated, analytics-ready datasets for reporting, analytics, and AI use cases.
  • Enable scalable, trusted data access across business stakeholders.
  • Partner with Data Analysts, DBAs, and stakeholders to support business outcomes.
  • Ensure reliability, availability, and performance of data pipelines.
  • Monitor pipeline execution, system health, and data latency.
  • Optimize pipelines, queries, and storage performance.
  • Troubleshoot and resolve data quality, performance, and reliability issues.
  • Implement and enforce data governance, access control, and security policies under established frameworks.
  • Support data lineage, auditing, and compliance…
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