Developer - Microsoft Fabric QA Analyst

At Duke Health, we're driven by a commitment to compassionate care that changes the lives of patients, their loved ones, and the greater community. No matter where your talents lie, join us and discover how we can advance health together.

About Duke Health Technology Solutions

Pursue your passion for caring and innovation with Duke Heath Technology Solutions, which is dedicated to the transformation, development, and management of enterprise information technology solutions across Duke Health. By harnessing the power of innovative technologies like cloud computing and artificial intelligence — and pairing them with a forward-thinking approach — Duke Health Technology Solutions is revolutionizing the future of health care at Duke Health and beyond.

Primary Role

The DHTS Developer is responsible for quality assurance, validation, and release readiness of analytics-ready data assets in Microsoft Fabric. This role focuses on ensuring lakehouse, warehouse, pipeline, notebook, and semantic model solutions are accurate, complete, reliable, and fit for trusted reporting in Power BI.

Key responsibilities include developing QA strategies, test plans, test cases, validation queries, reconciliation procedures, and acceptance criteria for Fabric data pipelines, lakehouse and warehouse tables, curated data products, Power BI semantic models, measures, and reports. The role performs source-to-target validation, regression testing, data profiling, defect triage, and quality evidence review to support governed analytics delivery.

The ideal candidate should have experience with Microsoft Fabric concepts, Power BI semantic model validation, SQL-based testing, data profiling, data reconciliation, defect management, QA documentation, Git/GitHub or Azure DevOps, deployment pipelines, and collaborative practices that ensure analytics solutions meet business, technical, and data quality expectations before production release.

Level 1 Work Performed, at a minimum

- Individual contributor works under the direct supervision of level 3 or above and collaborates as a member of a team
- Basic understanding of enterprise source systems, Microsoft Fabric concepts, Power BI reporting, and the data used by the assigned role or domain
- Basic understanding of ETL technologies and scripting languages and terminology related to role
- Basic understanding of Microsoft Fabric QA concepts, including OneLake, lakehouses, warehouses, notebooks, data pipelines, Delta tables, semantic models, validation testing, regression testing, and data quality checks
- Ability to execute and document QA test cases for Fabric data assets under guidance of senior team members, including validation of row counts, completeness, data rules, transformations, semantic model calculations, and expected report results
- Assists with monitoring Fabric pipeline runs, refresh results, validation outputs, and data quality findings to support timely identification and communication of issues
- Basic knowledge of SQL and relational databases
- Follows all policies and procedures set forth by DUHS/DHTS/ACE as pertains to role
- Responds to customer requests for assistance as assigned and prioritized by manager
- Participates in QA reviews, test evidence reviews, defect discussions, and learning best practices in Fabric validation, semantic model testing, and data quality assurance
- Maintains ongoing communications (timely, clear, concise, and accurate) with manager keeping them apprised of request status
- Maintains appropriate QA and production support documentation, such as test plans, test cases, validation results, defect logs, release notes, data dictionaries, lineage notes, and supporting evidence

Level 2 Work Performed, at a minimum

- Meets all Competencies in Level 1 AND:
- Works with new hires/Level I team members to train on use of tools and technologies to accomplish job duties
- Demonstrates advanced knowledge of the assigned domain/role. Understands data, workflows, and tools related to role.
- Demonstrates advanced knowledge of Microsoft Fabric QA and validation concepts, including OneLake, Lakehouse, Warehouse, notebooks, data pipelines, Delta tables, Direct Lake, semantic models, deployment pipelines, lineage, data reconciliation, and medallion-style data architecture.
- Works with stakeholders to understand business definitions, reporting expectations, data quality concerns, and acceptance criteria independently >75% of the time.
- Develops QA requirements, test scenarios, validation criteria, expected results, and test evidence requirements from business and technical requirements independently >75% of the time.
- Can write/modify accurate SQL queries independently >90% of the time
- Ability to optimize SQL queries, stored procedures and scripts for performance reliability
- Can write complex SQL inclusion/exclusion criteria for cohort development
- Reviews Fabric workspace assets, pipeline runs, refresh results, validation outputs, and semantic model changes to identify data quality, performance, completeness, and release readiness concerns
- Investigates, documents, and supports resolution of complex Fabric pipeline, notebook, lakehouse, warehouse, semantic model, data refresh, and QA validation issues
- Ability to locate data elements independently >75% of the time
- Knowledge and utilization of Fabric data validation, semantic model testing, quality assurance practices, lineage review, defect tracking, and release management practices
- Participates in team code review
- Leads assigned data QA activities, including profiling, reconciliation, defect triage, source-to-target validation, regression testing, semantic model review, report result validation, and requests for new tables, attributes, measures, or business logic changes
- Actively seeks out participation in Special Projects and is able to effectively accomplish project assignments with minimal supervision
- Ability to manage multiple projects to completion in a timely manner
- Ability to develop and present topics as assigned/needed by customer and/or ACE team
- Active participation in Duke Analytic Community or other networking forums applicable to job functions

Level 3 Work Performed, at a minimum

- Meets all Competencies in Level 2 AND:
- Demonstrates expertise in systems and software related to Microsoft Fabric, Power BI semantic models, SQL validation, notebooks, data pipelines, deployment pipelines, source control, defect tracking, and QA automation to accomplish job duties
- Resolves or coordinates resolution of escalated QA findings and incidents to ensure data accuracy, completeness, reliability, and trustworthiness of Fabric pipelines, semantic models, and Power BI reporting assets
- Architects and designs robust data solutions
- Expert knowledge and experience with Microsoft Fabric QA, Power BI semantic model validation, enterprise KPI/business logic validation, data quality controls, automated reconciliation, regression testing, and industry best practices for governed analytics delivery.
- Expert locating data elements as required. Assists team in locating data elements as needed.
- Works with team members to train on advanced skills in using tools and technologies to accomplish job duties
- Leads QA planning and validation for complex Fabric data pipelines, notebooks, lakehouse/warehouse structures, semantic models, reusable measures, and Power BI reports, ensuring accuracy, maintainability, and alignment with approved data definitions
- Defines standards and best practices for Fabric QA strategy, validation queries, test evidence, data reconciliation, semantic model review, deployment readiness, defect management, monitoring, and production support handoff
- Demonstrates ability to work independently to solve problems and complete assigned work >95% of the time
- Demonstrates ability to work with customers to understand business need or problem to address independently >95% of the time
- Leads Projects with minimal supervision
- Change agent with regard to team processes and workflows when issues or gaps are found
- Collaborates with data architects, analytics developers, QA partners, and business stakeholders on validation strategy, acceptance criteria, defect resolution, and release readiness for Fabric data solutions, including lakehouse, warehouse, and semantic model assets
- Serves as moderator, leader, or channel owner for a forum such as Duke Analytics Community or other professional networking organization

Behaviors/Soft Competencies:

Advancement to the level 3 or above requires employee, at a minimum, successfully attain the following:

The following measures can help create a fair and comprehensive evaluation process for promotions, ensuring that the most deserving employees are recognized and given opportunities to advance.

- Proven ability to work at the next level : This involves demonstrating the skills and competencies required for the next level of responsibility. Employees should have demonstrated that they can handle tasks and challenges that are typically associated with a higher position.
- Potential to serve beyond the next level : This measure looks at the employee's long-term potential and their ability to grow within the organization. The employee should have the vision, ambition, and capability to take on even greater responsibilities in the future.
- Consistently demonstrates a values-based approach in how they work : Employees should consistently exhibit behaviors and decision-making processes that align with DUHS values. The exhibited values are integrity, teamwork, diversity excellence and safety.  Patient-focused is also critical to success.
- Is considered one of the top performers at their level across the organization : This measure evaluates the employee's overall performance and reputation within DHTS. Top performers are often recognized for their exceptional contributions, reliability, and ability to exceed expectations.  We will select the best and not the best available.

Required Qualifications at this Level

Education/Training

Bachelor's degree in a related field, or four years of equivalent technical experience required.

Licensure / Certification

None required. Preferred certification in development technologies, as appropriate for the position.

Experience

Level 1 - No experience required beyond the minimum education (or equivalency) requirement.

Level 2 - Two years of directly related experience is required.

Level 3 - Four years of directly related experience is required.

Duke is an Equal Opportunity Employer committed to providing employment opportunity without regard to an individual's age, color, disability, gender, gender expression, gender identity, genetic information, national origin, race, religion, sex (including pregnancy and pregnancy related conditions), sexual orientation or military status.

Duke aspires to create a community built on collaboration, innovation, creativity, and belonging. Our collective success depends on the robust exchange of ideas—an exchange that is best when the rich diversity of our perspectives, backgrounds, and experiences flourishes. To achieve this exchange, it is essential that all members of the community feel secure and welcome, that the contributions of all individuals are respected, and that all voices are heard. All members of our community have a responsibility to uphold these values.

Essential Physical Job Functions:
Certain jobs at Duke University and Duke University Health System may include essential job functions that require specific physical and/or mental abilities. Additional information and provision for requests for reasonable accommodation will be provided by each hiring department.