Job SummaryWe are seeking a highly skilled Sr. Software Engineer - Analytics Engineering with deep expertise in semantic modeling, DAX, and the Microsoft Fabric analytics ecosystem. This role is responsible for designing, optimizing, and maintaining enterprise-grade Power BI semantic models that deliver accurate, scalable, and actionable insights across the organization. The ideal candidate combines strong technical modeling expertise with business acumen, collaboration skills, and a commitment to data quality, governance, and performance.
Role DescriptionSemantic Modeling and DAX- Design, build, and optimize Power BI semantic models using Power BI Desktop, Tabular Editor, and related modeling tools.
- Develop advanced DAX measures and calculations to support complex business logic, reporting requirements, and analytical use cases.
- Ensure semantic models are scalable, maintainable, high-performing, and aligned with enterprise standards and best practices.
- Optimize semantic models within Microsoft Fabric, including performance tuning, model architecture, refresh processes, and usability.
- Troubleshoot Power BI models, measures, and refresh processes to improve reliability, efficiency, and user experience.
Microsoft Fabric and Analytics Engineering- Develop and maintain Power BI datasets, reports, dataflows, and related assets supporting enterprise analytics solutions.
- Implement row-level security, incremental refresh, and other Power BI capabilities to support secure and efficient reporting.
- Work within Microsoft Fabric to deliver analytics solutions across lakehouse, warehouse, data pipeline, and semantic model components.
- Apply data modeling, analytics engineering, and performance optimization techniques to meet business and technical requirements.
- Support the design and delivery of scalable and governed enterprise analytics platforms.
Collaboration, Governance, and Enablement- Partner with data engineers, analysts, business stakeholders, and report developers to understand requirements and deliver trusted analytics solutions.
- Support BI governance initiatives through documentation, data quality practices, Microsoft Purview alignment, and version control processes.
- Provide technical guidance, training, and support to end users, analysts, and junior developers.
- Promote standards for semantic model design, naming conventions, documentation, security, governance, and lifecycle management.
Behaviors and Competencies- Communication: Can effectively communicate complex ideas and information to diverse audiences and can facilitate effective communication between others.
- Listening: Can actively engage in listening by asking clarifying questions and providing feedback that shows a deep understanding of the conversation.
- Presenting: Can design and deliver engaging presentations, adapting the content and style to suit the audience, context, and medium.
- Adaptability: Can proactively adapt to challenging situations, anticipate changes, and make modifications to meet the demands of changing circumstances.
- Problem-Solving: Can proactively identify potential problems, initiate preventive measures, and propose and contribute to innovative solutions.
- Initiative: Can proactively seek out challenges, initiate projects, and contribute to innovative ideas.
- Prioritization: Can proactively identify high-impact tasks, initiate action plans, and contribute to process improvements.
- Time Management: Can consistently use time effectively, balance multiple tasks, and meet deadlines.
- Technical Expertise: Can apply technical knowledge and skills effectively in complex situations and can guide others in the application of technical knowledge and skills.
- Teamwork: Can lead a team effectively, facilitating cooperation, sharing information, and ensuring that all team members are able to contribute to their full potential.
Skill Level Requirements- Advanced expertise in analytics engineering, semantic modeling, and enterprise reporting solutions.
- Strong proficiency with DAX, including the ability to design and implement complex business calculations.
- Deep understanding of data warehousing concepts, dimensional modeling, star schema design, and analytics modeling best practices.
- Experience applying data modeling, optimization, and performance tuning techniques to enterprise analytics solutions.
- Strong analytical, troubleshooting, problem-solving, communication, and collaboration skills.
- Ability to work effectively with technical teams and business stakeholders.
- Experience implementing reporting security, governance standards, and data quality best practices.
- Familiarity with Agile delivery methodologies and version control practices.
Other Requirements- Bachelor's degree in Computer Science, Software Engineering, or a related field, or relevant work experience required
- 5+ years of experience developing Power BI solutions, including semantic models, reports, and enterprise analytics assets.
- Hands-on experience with Power BI tools such as Tabular Editor, DAX Studio, and ALM Toolkit.
- Experience working with Microsoft Fabric, including semantic models and analytics workloads.
- Familiarity with lakehouse storage concepts and file formats such as Parquet and Delta.
- Experience with Agile delivery practices and version control using GitHub or similar tools.
- Ability to travel 10%
Preferred- Certification in Microsoft Power BI, Microsoft Fabric, Azure, or related Microsoft data platforms.
- Experience using Python for data analysis, automation, or analytics engineering workflows.
- Experience with PowerApps automation and Copilot Studio.
The estimated annual pay range for this position is $125,000 - $140,000 which includes a base salary. The compensation for this position is dependent on job-related knowledge, skills, experience, and market location and, therefore, will vary from individual to individual. Benefits may include, but are not limited to, medical, vision, dental, 401K, and flexible spending.
