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Fabric Platform Engineer Location:

Mesa, AZ, United States Date Posted:

Oct 23, 2026

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share to e-mail Apply Now Save Job Saved Description Fabric Platform Engineer 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. 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 OneLake. 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 requirements. Partner with Data Governance teams to align standards and controls. Document architecture, data flows, and engineering solutions. Establish and maintain data engineering best practices and standards. Provide technical guidance and knowledge transfer across teams. Qualifications and Experience Minimum Qualifications Bachelor's degree in Computer Science, Data Engineering, or a related field. 3+ years of experience in data engineering or data platform engineering. 3+ years of experience working with cloud data platforms, including Microsoft Fabric, Azure Data Factory, or Synapse. Proven experience designing and building data platforms or large-scale data systems. Strong hands-on experience with SQL and Python/PySpark and building ETL/ELT pipelines. Experience working with data lakes, warehouses, and analytics platforms. Solid understanding of data modeling, including dimensional and Medallion architectures, as well as data governance and security practices. Experience integrating cloud and on-premises systems. Strong troubleshooting, performance-tuning, and optimization skills. Effective communication skills with the ability to work cross-functionally and drive outcomes. Preferred Qualifications Azure or Microsoft Fabric certifications. Disclaimer This job description is not designed to cover or contain a comprehensive list of activities, duties, or responsibilities that are required of the employee. Duties, responsibilities, and activities may change, or new ones may be assigned at any time with or without notice. The job description does not constitute an employment contract or guarantee of employment. The organization reserves the right to hire, fire, or discipline employees at its discretion. EEO Statement FlexTG provides equal employment opportunities to all employees and applicants for employment. The Company prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, sexual orientation, gender identity or expression, national origin or ancestry, citizenship or immigration status, physical or mental disability, genetic information (including testing and characteristics), pregnancy (including childbirth, lactation and related medical conditions), protected veteran status, uniformed servicemember status, or any other characteristic protected by federal, state, or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, benefits, leaves of absence, compensation, and training. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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