Technical Staff Member – Data Platform

🕒 September 16

🇺🇸 United States – Remote

💵 $232k - $348k / year

⏰ Full Time

🔴 Lead

🚰 Data Engineer

🦅 H1B Visa Sponsor

This company has sponsored H1B visas in the past.

👻 Ghost score 7%

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Vercel

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2016

☁️ SaaS

🌐 Web 3

💰 $150M Series D on 2021-11

SaaS • Web 3 • Cloud Computing

Vercel is a platform providing developer tools and cloud infrastructure to build, scale, and secure faster and more personalized web applications. It specializes in optimizing web performance through features like fast load times, scalable infrastructure, and global CDN distribution. The platform supports developers with automated workflows, a wide range of templates, and seamless integration with tools like Git for quick deployment. Vercel also emphasizes observability and security, offering privacy-friendly analytics and enterprise-level conformance.

📋 Description

• Design and implement a next-generation data platform supporting batch and real-time integrations, advanced analytics, and multiple data types • Leverage Kafka, Kafka-based tooling, and streaming technologies for real-time data movement and processing • Collaborate with engineering, product, and senior leadership teams to architect business-aligned solutions • Define guidelines for data ingestion, creation, enrichment, and storage • Oversee data modeling, ETL processes, and data warehousing using ClickHouse, Tinybird, and Snowflake • Develop end-to-end solutions and set high standards for engineering excellence • Mentor and direct engineers while fostering continuous improvement and innovation • Partner with Security, Compliance, and Legal teams on data protection standards • Champion high availability and fault tolerance through monitoring, alerting, and incident response • Drive architectural decisions, roadmap planning, and build-vs-buy evaluations • Collaborate with data science and machine learning teams on infrastructure for advanced analytics and AI initiatives • Select critical data architectures and technologies and establish strategic roadmaps for data platform maturity

🎯 Requirements

• 8+ years of experience in data engineering, data architecture, or related roles • At least 5 years at the Principal Engineer level • Experience designing and operating large-scale data infrastructures at high scale in a complex, fast-paced environment • Experience with Kafka and its ecosystem, including Kafka Streams and Confluent Platform • Experience with ClickHouse, Tinybird, Snowflake, and broader big data frameworks • Proficiency in AWS, GCP, or Azure and associated big data services • Strong background in data governance and security • Ability to ensure regulatory compliance and protect sensitive information • Outstanding communication and collaboration skills • Ability to influence technical and non-technical stakeholders across organizational levels • Ability to mentor teams, drive consensus, and advocate for best practices • Master's degree in Computer Science, Engineering, or a related field is preferred • Industry recognition or notable contributions in data engineering is a plus

🏖️ Benefits

• Benefits may be included in the total compensation package • Equity-based compensation may be included • Eligibility for a company bonus or variable pay program may apply • Compensation may be adjusted based on employee location

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