Principal Specialist, Data Modeling & Arch

Job Purpose

The Principal Specialist, Data Modeling & Architecture leads the design, modeling, and evolution of the enterprise data architecture to ensure data products, curated layers, and integration patterns are standardized, scalable, high-quality, and governed. The role defines how diverse operational and corporate data should be modeled, aligned, and transformed to support analytics, enterprise reporting, and integration with downstream systems.

This position is a senior technical authority responsible for defining modeling standards, shaping architecture decisions, and guiding multidisciplinary teams to achieve semantic consistency and reusability across domains, while enabling performance, interoperability, and trusted consumption.

• Develop and maintain conceptual, logical, and physical data models aligned with business domains, using enterprise standards and modeling principles.

• Define canonical models, conformed dimensions, and reference data structures to enable consistent cross-domain reporting and analytics.

• Lead the creation and optimization of data product models and curated layer schemas (including time-variant structures and auditability) to support enterprise use cases.

• Ensure models consider platform and technology requirements (relational, non-relational, time-series, streaming) and are optimized for performance and maintainability.

• Establish integration patterns that ensure consistent transformation logic, metadata, lineage, and data quality across source-to-consumption pipelines.

• Define and maintain enterprise modeling standards, guidelines, naming conventions, and reusable templates to uplift modeling maturity across delivery teams.

• Review and approve modeling deliverables from internal teams and external vendors; provide design authority and quality assurance for key initiatives.

• Partner with governance to ensure business glossary alignment and stewardship ownership for critical entities and attributes.

• Mentor modelers, engineers, and analysts; lead model reviews and coaching to ensure consistent application of standards.

Minimum Qualifications, Experiences & Competencies 

• Bachelor’s degree in Computer Science/Engineering, Data Engineering, Information Systems, or related field.
• Master’s degree preferred (Data Architecture, Software Engineering, or Analytics).

• 10–15 years of experience in data modeling, data architecture, or enterprise information architecture.

• Strong experience with cloud-native data platforms and metadata/governance tooling; demonstrated ability to influence architecture across multiple domains.

   

• Strategic Thinking & Decision Making – Anticipates implications and guides enterprise direction.
• Collaboration & Influencing – Aligns diverse stakeholders without direct authority.
• Execution Excellence – Sets high standards and ensures measurable outcomes.
• Innovation & Adaptability – Applies modern practices and evolves standards pragmatically.
• Change Leadership – Drives adoption, governance, and continuous improvement.

• Mastery of conceptual, logical, and physical data modeling; dimensional modeling and domain-driven design concepts.
• Enterprise architecture and modeling principles; metadata management and lineage concepts.
• Design of curated data layers, data products, and integration patterns from source to consumption.
• Ability to balance governance, usability, and performance; strong design documentation and stakeholder communication.
• Proficiency with modeling tools and standards; ability to review and assure vendor deliverables.