!!! VERY URGENT REQUIREMENT !!!
Position: Sr BI Engineer – Semantic Layer & Data Modeling
Location: Kansas City, Missouri (ONSITE)
Duration: 6-12 Months
Senior BI Engineer – Semantic Layer & Data Modeling
A Senior BI Engineer with deep expertise in semantic layer data modeling and analytics engineering. This role will be responsible for designing, governing, and delivering trusted analytical data products that power enterprise BI, self‑service analytics, and embedded use cases.
The ideal candidate has a strong command of both open‑source semantic layer technologies and enterprise BI semantic models, with a proven ability to translate complex business requirements into intuitive, governed analytical models consumed by a wide range of stakeholders.
Key Responsibilities
Semantic Layer & Analytics Modeling
· Design and maintain enterprise‑grade semantic layers, including fact/dimension models, relationship definitions, metrics, and calculated measures.
· Build and evolve analytical models that balance performance, usability, and governance across BI tools.
· Apply best practices in dimensional modeling, star/snowflake schemas, and metric standardization.
· Define and manage business‑friendly metrics and KPIs to ensure consistency across all consuming tools.
Tooling & Platform Expertise
· Develop and manage open‑source semantic layers (e.g., Cube) for headless BI and API‑driven use cases.
· Design and support enterprise semantic models, including:
o Microsoft Fabric / Power BI Tabular Models (DAX)
o LookML (Looker)
· Enable interoperability and reuse of semantic definitions across multiple BI and analytical platforms.
End‑to‑End BI Delivery
· Collaborate closely with business stakeholders, data engineers, and platform teams to gather requirements and translate them into scalable analytical models.
· Drive solutions from raw data → curated models → semantic layer → BI consumption.
· Support downstream use cases including dashboards, self‑service exploration, and embedded analytics.
· Optimize semantic models for performance, cost efficiency, and scalability.
Technical Skills
· Strong experience in BI and semantic layer modeling in enterprise environments.
· Deep understanding of data modeling for analytics, including relationships, hierarchies, measures, and aggregations.
· Hands‑on experience with:
o Open‑source semantic layer tools (e.g., Cube)
o Microsoft Fabric / Power BI Tabular Models
o LookML
· Solid SQL expertise and familiarity with modern cloud data warehouses.
· Understanding of API‑driven analytics and headless BI patterns.
Thanks & Regards,
Steve
Manager Recruitment’s
___________________
Parmesoft, Inc
2626 Cole Ave, Ste: 300
Dallas, TX 75204
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