12 часов назад
Senior Data Architect (AI)
147 050 - 230 850$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Architect (AI): Architecting AI-ready enterprise data foundations, including semantic and context layers for LLMs and agentic workflows, with an accent on data warehousing, modeling, governance, and platform strategy. Focus on building production-grade LLM solutions, validating emerging architectural patterns with technology partners, and leading complex cross-functional workstreams.
Location: Spring, Texas, United States of America. Relocation is available.
Salary: $147,050–$230,850 USD annually, with additional bonus and/or equity opportunities for candidates in the United States.
Company
's Enterprise Data & Analytics organization develops corporate data architecture, strategy, engineering, platforms, and analytics for initiatives across the company.
What you will do
- Architect AI-ready data foundations, including semantic and context layers for LLMs and agentic workflows.
- Lead technical workstreams end-to-end, set direction, align teams, and own deliverables.
- Partner with AI vendors and internal stakeholders to prototype, validate, and scale architectural patterns.
- Shape enterprise data strategy and platform architecture across warehousing, modeling, and governance.
- Build hands-on solutions using LLMs and applied AI technologies.
- Translate complex architecture for business and executive stakeholders across 's business units.
Requirements
- 10+ years designing and delivering enterprise data warehousing solutions.
- Deep expertise in data modeling, data engineering, and enterprise data architecture.
- Experience defining data strategy and platform architecture in a large, complex enterprise.
- Broad knowledge of business domains including supply chain, finance, sales, and customer data.
- 3+ years of hands-on experience with modern AI architecture and production-grade LLM solutions.
- Expected familiarity with the Azure and AWS data ecosystems; hands-on Databricks and Microsoft Fabric experience is strongly preferred.
Culture & Benefits
- Individual contributor role on the technical career path with ownership of technical direction.
- Collaboration with technical and business teams across 's business units and technology partners.
- Health, dental, and vision insurance.
- Disability, life insurance, employee assistance program, and flexible spending account.
- Paid parental leave, 11 paid holidays, and flexible paid vacation and sick leave.
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