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Job Summary
Design, govern, and enable high-qualityenterprisedatamodelthat support enterprise reporting, analytics, and AI-driven use casesleveragingthe Data Vault 2.0 modelingmethodology. This role bridges business requirements and technical implementation, ensuring data is structured, trusted, reusable, and aligned to enterprise architecture standards, primarily within Microsoft Fabric and the enterprise analytics ecosystem.
Key Responsibilities
- Design, maintain, develop and execute conceptual, logical, and physical data models for BI and analytics.
- Strong working knowledge of modern data and analytics architectures and hands on implementation experience
- Define and enforce semantic modeling standards and metric definitions
- Partner with Data Engineering to align lakehouse and warehouse architectures
- Enable self-service and managed BI through reusable semantic models
- Translate business requirements into scalable data structures
- Support Microsoft Fabric adoption and analytics architecture patterns
- Establish data modeling patterns, naming standards, and guidelines
- Contribute to data governance, quality, lineage, and metadata initiatives
- Support AI and advanced analytics readiness Scope & Impact
- Improves data trust, consistency, and usability for decision-making
- Influences analytics design across all enterprise domains
- Reduces duplication and inconsistencies across reports and data products
- Supports enterprise analytics modernization initiatives
Management Responsibilities
Preferred Qualifications
Required Qualifications
- Demonstrated experience designing andmaintainingenterprise‑scale conceptual, logical, and physical data models that support reporting, analytics, and AI use cases.
- Strongexpertisein dimensional and analytical data modeling, including definingcanonicalbusiness entities, shared metrics, and reusable semantic layers.
- Proven ability to translate business requirements into scalable, governed data structures, balancing flexibility, performance, and long‑term maintainability.
- Solid understanding of modern analytics architectures, includinglakehouse, warehouse, and medallion patterns, and how data models align to each layer.
- Working knowledge of data governance, data quality, lineage, and metadata practices, and how these are embedded into model design rather than retrofitted
Preferred Skills
- Experience modeling data in Microsoft Fabric, including alignment withOneLake, Lakehouse/Warehouse, and Power BI semantic models.
- Hands‑on experience with Data Vault 2.0 as an integration and history‑preserving modeling approach, paired with dimensional models for analytics consumption. Word
- Experience defining and enforcing enterprise data modeling standards, naming conventions, and design guidelines across multiple domains.
- Familiarity with AI‑ and ML‑ready data design, ensuring data models can support feature reuse, advanced analytics, and future AI workloads.
- Experience working in a governed self‑service analytics environment, enabling reuse whilemaintainingconsistency and trust
Minimum Qualifications
All applicants must be able to complete pre-employment onboarding requirements (if selected) which may include any/all of the following: criminal/civil background check, drug screen, and motor vehicle records search, in compliance with any applicable laws and regulations.
Work Environment/Physical Demands
Salary Plan
ITS: Information Technology Service
BVH, Inc., its subsidiaries and its affiliated companies, complies with all Equal Employment Opportunity (EEO) affirmative action laws and regulations. Black & Veatch does not discriminate on the basis of age, race, religion, color, sex, national origin, marital status, genetic information, sexual orientation, gender Identity and expression, disability, veteran status, pregnancy status or other status protected by law.
Black & Veatch is committed to being an employer of choice by creating a valuable work experience that keeps our people engaged, productive, safe and healthy. We offer professionals an array of health and welfare benefits that vary based on their geographic region and employment status. This may include health, life accident and disability insurances, paid time off, financial programs and more. Professionals may also be eligible for a performance-based bonus program.
By valuing diverse voices and perspectives, we cultivate an authentically inclusive environment for professionals and are able to provide innovative and effective solutions for clients.
