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Lead Data Modeler
Описание вакансии
Текст:
TL;DR
Lead Data Modeler: Designing and developing the Customer Success Semantic layer for enterprise data syndication and agentic analytics with an accent on robust entity relationship diagrams, architectural specs, and mapping relationships within CSG domains. Focus on architecting the semantic relationships of analytical objects, aligning designs to standard metadata and ontologies, and partnering cross-functionally to make the semantic layer discoverable.
Location: Hybrid in Seattle, WA or Chicago, IL
Company
is seeking a Data Modeler to contribute to its Customer Success Semantic layer development.
What you will do
- Design and architect the semantic relationships of analytical objects within the Customer Success Domain.
- Collaborate with Product Managers, Engineering leaders, and data engineers to implement a multi-year architecture roadmap.
- Align designs and architecture to standard enterprise metadata and ontologies.
- Partner cross-functionally with architects, data architects, and product managers to make the analytical semantic layer discoverable.
- Translate data models into database schemas and objects for analytical alignment.
- Author and conform to best practices for maintaining discoverability and trust of data within the semantic layer.
Requirements
- 8+ years of proven experience in a data modeling, architecture, or data engineering capacity.
- A related technical degree is required.
- Proficiency in database technologies (SQL, NoSQL), data modeling tools (ERwin, Visio), data warehousing, and ETL processes.
- Excellent communication, collaboration, and interpersonal skills.
- Knowledge of data governance and metadata management techniques and tools.
- Strong analytical and problem-solving abilities with a keen eye for detail.
Culture & Benefits
- Foster strong relationships with external partners, vendors, and industry experts to stay ahead of technological advancements.
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