4 дня назад
Member of the Technical Staff - Data Platform (AI)
232 000 - 348 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Member of the Technical Staff - Data Platform (AI): Building a next-generation data platform for batch and real-time integrations, analytics, and AI/ML initiatives with an accent on Kafka-based streaming, data governance, and low-latency warehousing. Focus on architecting scalable fault-tolerant systems, driving multi-phase platform roadmaps, and mentoring engineers across the organization.
Location: United States; salary reference: San Francisco, CA
Salary: $232,000–$348,000 annual base pay; compensation may be adjusted outside San Francisco and may include benefits, equity, and bonus eligibility.
Company
Vercel builds agentic infrastructure and developer products including Next.js, v0, and AI SDK.
What you will do
- Design and implement a next-generation data platform supporting batch and real-time integrations, advanced analytics, and multiple data types.
- Architect data solutions with engineering, product, and senior leadership teams, aligning technical strategy with product goals.
- Define standards for data ingestion, enrichment, storage, modeling, ETL, and data warehousing using Kafka, ClickHouse, Tinybird, and Snowflake.
- Build production-grade end-to-end systems while setting engineering standards and mentoring engineers.
- Partner with Security, Compliance, and Legal teams on data protection, governance, monitoring, alerting, high availability, and incident response.
- Develop architecture decisions and strategic roadmaps for data platform maturity and infrastructure supporting analytics and AI/ML workloads.
Requirements
- 8+ years of experience in data engineering, data architecture, or related roles, including at least 5 years at Principal Engineer level.
- Experience designing and operating large-scale data infrastructure in complex, fast-paced environments.
- Strong experience with Kafka and its ecosystem, ClickHouse, Tinybird, Snowflake, and broader big data frameworks.
- Proficiency with AWS, GCP, or Azure and related big data services.
- Strong background in data governance, security, regulatory compliance, and protection of sensitive information.
- Excellent communication, collaboration, mentoring, and technical leadership skills.
Nice to have
- Master's degree in Computer Science, Engineering, or a related field.
- Industry recognition or notable data engineering contributions, such as publications or open-source work.
Culture & Benefits
- Inclusive workplace committed to equal opportunity and non-discrimination.
- Total compensation may include benefits, equity-based compensation, and company bonus or variable pay eligibility.
- Work supports products used by millions of developers and organizations including OpenAI, PayPal, Ramp, and Supreme.
Hiring process
- Application requires an explanation of fit for the role.
- Recruiters provide additional compensation details during the hiring process.
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