Staff Data Platform Engineer — Remote

Taswiq4me; San Francisco (CA); Hybride; USD 232 000 - 348 000; Plein temps

Avantages offerts par ce poste

Equity

Inclusive Healthcare

Mentorship & events

Flexible Time Off

WFH budget

Résumé du poste

Vercel seeks a Staff level Engineer to lead the design and development of a next-generation Data Platform supporting real-time analytics and AI initiatives. You will architect scalable systems using Kafka, ClickHouse, Tinybird, and Snowflake, guiding a growing team and aligning data strategy with business goals.

You will collaborate with cross-functional leaders across engineering, product, and security to ensure data availability, governance, and high performance in a remote-first environment.

Qualifications

• 8+ years in data engineering or data architecture
• Proven track record designing large-scale data infra
• Experience with real-time analytics and data governance

Responsabilités

• Design and implement a next-generation data platform supporting batch and real-time analytics
• Architect solutions aligning data strategy with product goals
• Define data ingestion, enrichment, and storage guidelines across ClickHouse, Tinybird, and Snowflake
• Mentor engineers and set high standards for data governance and reliability
• Collaborate with Security, Compliance, and Legal to ensure data protection and availability

Connaissances

Leadership

Mentoring

Cross-functional collaboration

Formation

Master's degree in CS/Engineering or related

Outils

Kafka

ClickHouse

Tinybird

Snowflake

AWS/GCP/Azure

Description du poste

Vercel seeks a Staff level Engineer to lead the design and development of a next-generation Data Platform supporting real-time analytics and AI initiatives. You will architect scalable systems using Kafka, ClickHouse, Tinybird, and Snowflake, guiding a growing team and aligning data strategy with business goals.

You will collaborate with cross-functional leaders across engineering, product, and security to ensure data availability, governance, and high performance in a remote-first environment.