8 часов назад
Information Architect (AI)
137 400 - 240 400$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Information Architect (AI): Designing enterprise data models, semantic layers, and data products across Snowflake and Databricks with an accent on data governance, ontology design, and agentic AI enablement. Focus on defining architectural standards, integrating lineage and metadata, and guiding secure, scalable data solutions across financial services domains.
Location: Chicago, IL; U.S. work authorization required
Salary: $137,400–$240,400 USD per year, plus benefits and a discretionary bonus program.
Company
is a financial services company providing wealth management, asset servicing, asset management, and banking services.
What you will do
- Lead conceptual, logical, and physical data model design aligned with data mesh and medallion architectures.
- Govern enterprise data models, canonical entities, lineage, semantic layers, ontologies, taxonomies, and controlled vocabularies.
- Design data product schemas and architectural guardrails across Snowflake and Databricks, including Delta Lake structures.
- Define data contracts, data quality frameworks, transformation standards, and pipeline review practices.
- Enable natural-language query and LLM-augmented data products using Snowflake Cortex, Databricks Genie, and agentic AI frameworks.
- Act as a data architecture design authority, present decisions to senior stakeholders and review boards, and mentor junior architects and engineers.
Requirements
- Proven experience in data architecture, data engineering, or information management, including enterprise data modelling at conceptual, logical, and physical levels.
- Bachelor’s degree in Computer Science, Information Systems, Data Science, Engineering, or a related discipline.
- Hands-on experience with SqlDBM or an equivalent modern modelling tool and dbt Labs.
- Good Python, API integration, and automation skills.
- Practical Snowflake and Databricks experience, including Cortex AI and Genie, plus experience with an agentic AI framework and an AI coding assistant such as GitHub Copilot.
- Working knowledge of OWL, RDF, SPARQL, enterprise ontology design, and financial data or regulatory requirements; must be authorized to work in the U.S. without employment-based visa sponsorship.
Nice to have
- Data Vault 2.1 alongside Kimball or star-schema modelling.
- Data mesh, data product ownership, and federated governance experience.
- Knowledge graph platforms such as Neo4j or Neptune.
- Published thought leadership or community contributions in data or AI.
Culture & Benefits
- Flexible and collaborative work culture with accessible senior leaders and opportunities for internal movement.
- Retirement benefits including a 401(k) and pension.
- Medical, dental, vision, spending account, disability, life, and accident insurance.
- Paid time off, parental and caregiver leave, and additional well-being benefits.
- Inclusive workplace with opportunities to support community and philanthropic initiatives.
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