Senior Microsoft Fabric Engineer Jobs

Shape the Future with Dun & Bradstreet

At Dun & Bradstreet, we believe data has the power to create a better tomorrow. As a global leader in business decisioning data and analytics, we help companies worldwide grow, manage risk, and innovate. For over 180 years, businesses have trusted us to turn uncertainty into opportunity. We’re a diverse, global team that values creativity, collaboration, and bold ideas. Are you ready to make an impact and help shape what’s next? Join us! Explore opportunities at dnb.com/careers.

The Senior Microsoft Fabric Engineer supports the governance and security of data within the Fabric platform to ensure it is prepared for analytics and AI workloads.

This role applies Microsoft Purview and Fabric’s built-in governance features to support security, compliance, and data quality standards on all data and reports. Work includes implementing data classification, access controls and data loss prevention policies under established guidelines.

The Senior Microsoft Fabric Engineer will assist with monitoring how Copilot driven activity affects capacity and performance across Fabric workloads and support adjustments that maintain stable operations. Through consistent governance, scalable design and strong platform stewardship, the engineer contributes to a reliable and AI ready environment that supports high quality data and analytics outcomes.

Key Responsibilities:

• Support the design and maintenance of scalable data pipelines using Microsoft Fabric tools.
• Assist with integrating and optimizing data ingestion, transformation, and loading (ETL/ELT) processes for analytics and AI readiness.
• Support Copilot experiences across Fabric workloads (Data Engineering, Data Science, Power BI, etc.).
• Build and manage semantic models and Power BI datasets to support Copilot’s generative AI capabilities.
• Monitor and manage Fabric capacity to ensure Copilot usage does not disrupt other workloads.
• Apply data governance, security, and compliance controls using Microsoft Purview and Fabric’s native controls.
• Collaborate with technical stakeholders to align Fabric infrastructure with Copilot integration needs by integrating new data sources and connectors, refining data workflows and improving the delivery of AI generated insights.
• Support AI-driven analytics by ensuring high-quality, well-governed, and accessible data for Copilot interactions.
• Troubleshoot performance issues and optimize data workflows for large-scale, AI-enhanced analytics.
• Support business users and teams in leveraging Copilot within the Fabric environment.

Essential Skills:

• Experience supporting ETL and ELT development and working with Fabric data engineering capabilities.
• Knowledge of lakehouse and warehouse design principles.
• Experience with semantic modeling, DAX and Power BI dataset management.
• Familiarity with Microsoft Purview governance features and related security and compliance controls.
• Ability to support monitoring of Fabric platform capacity and apply Azure data engineering concepts.
• Readiness to support AI and Copilot driven workloads.
• Ability to collaborate across technical functions and communicate clearly with partners.
• Experience with platform performance optimization and troubleshooting.
• Show an ownership mindset in everything you do; be a problem solver, be curious and be inspired to take action, be proactive, seek ways to collaborate and connect with people and teams in support of driving success.
• Continuous growth mindset, keep learning through social experiences and relationships with stakeholders, experts, colleagues and mentors as well as widen and broaden your competencies through structural courses and programs.
• Certifications such as DP 600, PL 300, DP 203, DP 500, SC 900, SC 400, AI 102 and AZ 900 are beneficial.
• Where applicable, fluency in English and languages relevant to the working market.

Benefits We Offer

- Generous paid time off in your first year, increasing with tenure.
- Up to 16 weeks 100% paid parental leave after one year of employment.
- Paid sick time to care for yourself or family members.
- Education assistance and extensive training resources.
- Do Good Program: Paid volunteer days & donation matching.
- Competitive 401k with company matching.
- Health & wellness benefits, including discounted Wellhub membership rates.
- Medical, dental & vision insurance for you, spouse/partner & dependents.

All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com.

Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.

Equal Employment Opportunity (EEO): Dun & Bradstreet provides equal employment opportunities to applicants and employees without regard to race, color, religion, creed, sex, age, national origin, citizenship status, disability status, sexual orientation, gender identity or expression, pregnancy, genetic information, protected military and veteran status, ancestry, marital status, medical condition (cancer and genetic characteristics) or any other characteristic protected by law. Know Your Rights: Workplace Discrimination is Illegal - The current poster can be found here. We participate in E-Verify - The current poster can be found here.

Accommodations information for applicants with disabilities: Dun & Bradstreet is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with Dun & Bradstreet, please send an e-mail to AcquisitionT@dnb.com to let us know the nature of your accommodation request and your contact information.

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 visit https://bit.ly/3LMn4CQ.