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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in designing and building semantic models in Azure Fabric, with strong skills in SQL, DAX, and Power BI reporting. Capable of mentoring teams and documenting technical processes to ensure knowledge retention.
Highest-signal resume keywords
Dimensional Data ModelingDAX ProficiencySQL Server ExpertiseAzure Fabric ExperienceSemantic Model Deployment
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Dimensional Data ModelingDAXPower QuerySQLAzure FabricSemantic Model DeploymentVersion ControlTabular EditorPythonSpark
Soft Skills
DocumentationMentoringCommunication
Tools & Technologies
Power BIAzure DevOpsDeployment PipelinesNotebooks
Industry Keywords
InsuranceFinancial Services
Tech Stack
Tools & technologiesAzureCloudPythonSparkSQL
About the role
Key responsibilities & impact- Design and build semantic models in Azure Fabric on top of our consolidated SQL Server data, balancing performance, usability, and governance
- Own the handoff from our data engineering team's cleansed, integrated data into consumable, well-modeled semantic layers
- Build and maintain Power BI reporting on these models, including DAX measures, row-level/object-level security, and deployment pipelines
- Help shape how the semantic layer serves consumers beyond Power BI — API access patterns and AI/analytics use cases
- Document architecture, modeling decisions, and processes so this knowledge lives with the team, not with a single person
- Partner with and mentor our data engineering team on cloud and semantic-modeling concepts as they grow into this space alongside you
Requirements
What you’ll need- Solid grounding in dimensional/semantic data modeling - star schemas, fact/dimension design, grain
- Working proficiency in DAX and Power Query (M)
- Strong SQL skills and hands-on comfort working directly in SQL Server
- Experience with at least one cloud analytics platform (Azure Fabric, Synapse, Databricks, or similar) - you don't need to be a Fabric expert on day one, but you've made the on-prem-to-cloud leap before
- A track record of documenting your work and explaining technical decisions to non-specialists
- Preferred Qualifications: Direct experience with Azure Fabric (OneLake, lakehouse/warehouse concepts, Direct Lake mode)
- Experience with semantic model deployment and version control (Tabular Editor, Azure DevOps, deployment pipelines)
- Exposure to notebooks, Python, or Spark for analytics workloads
- Insurance or financial services domain experience
Benefits
Comp & perks- Comprehensive benefits package including medical, dental, and vision insurance
- Spending accounts and other voluntary benefits
- Annual Bonus Program
- Corporate 401k Matching
- Generous time off, 10 paid company holidays, sick time off, and paid parental leave
- Community Involvement perks, including 1 paid day off each year to volunteer with a local charity of your choice and company volunteer events
- Support & development to cultivate your knowledge and continuing education to support your professional designations
- Business casual dress code
- Hybrid work arrangement
