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Staff Partner Engineer (Data Collaboration & AI)
137 400 - 192 300$
Описание вакансии
Текст:
TL;DR
Staff Partner Engineer (Data Collaboration & AI): Supporting strategic partners in architecting and building data collaboration strategies on with an accent on prototyping, evaluating, and implementing best practices for data sharing, governance, and data productization. Focus on designing cross-cloud Delta Sharing architectures, troubleshooting complex data-sharing issues, and co-developing AI-ready data productization strategies.
Location: Must be based in the US (San Francisco, California)
Salary: $137,400–$192,300 USD
Company
is a global data and AI company that unifies and democratizes data, analytics, and AI for over 10,000 organizations worldwide.
What you will do
- Lead end-to-end technical engagements with partners, including onboarding, POC execution, and Marketplace listing enablement.
- Design and prototype cross-cloud Delta Sharing architectures, encompassing governance, entitlements, and security patterns.
- Build and validate hands-on demos, sample data products, and multi-cloud sharing workflows.
- Troubleshoot complex data-sharing issues across security, networking, and client integration.
- Co-develop data productization strategies, including metadata enrichment and AI-ready packaging.
- Contribute to the Partner Well Architected Framework and provide feedback to product/engineering teams.
Requirements
- 5+ years experience in field engineering, solution architecture, or a technical cloud/data domain.
- Experience with cloud data platforms (, AWS, Azure, GCP), data governance, and collaborative data product development.
- Hands-on experience with data sharing, Delta Sharing, Unity Catalog, and associated Marketplace features preferred.
- Strong written and verbal communication and consultative skills.
- Comfort supporting multiple projects and navigating ambiguity; strong bias for hands-on execution.
Nice to have
- Experience working directly with large data providers in managed sharing or data marketplaces.
- Industry experience in martech or healthcare.
- Experience in customer facing roles working with data products.
- Open-source contributions or community engagement in data and AI technologies.
Culture & Benefits
- Comprehensive benefits and perks designed to meet employee needs.
- Commitment to fostering a diverse and inclusive culture where everyone can excel.
- Hiring practices are inclusive and meet equal employment opportunity standards.
- Individuals are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
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