DescriptionFabric Platform EngineerWork LocationThis 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.
CompensationThe salary range for this position is
$90,000-$120,000 annually, depending on experience (DOE).Work AuthorizationIndividuals who require sponsorship for work authorization now, or in the future, are not eligible for hire for this role.Position SummaryThe 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 ExperienceMinimum 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.
DisclaimerThis 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.
