Remote opportunity at
VercelSoftware Engineer - Data Platform
Vercel functions as an agentic infrastructure company designed to help builders transition concepts into production environments with strong speed, security, and developer experiences. The organization currently…
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About This Role
Vercel functions as an agentic infrastructure company designed to help builders transition concepts into production environments with strong speed, security, and developer experiences. The organization currently builds open software trusted by millions of developers globally alongside major companies such as OpenAI, PayPal, Ramp, and Supreme. To expand these operations, the company seeks a Staff level engineer to steer the creation of a next-generation data platform. This position centers on shaping…
Job Description
Vercel functions as an agentic infrastructure company designed to help builders transition concepts into production environments with strong speed, security, and developer experiences. The organization currently builds open software trusted by millions of developers globally alongside major companies such as OpenAI, PayPal, Ramp, and Supreme. To expand these operations, the company seeks a Staff level engineer to steer the creation of a next-generation data platform.
This position centers on shaping technical strategy for the entire data ecosystem while partnering closely with product and engineering leaders. The incoming professional will architect scalable systems handling real-time analytics, machine learning workloads, and batch processing. Ideal candidates possess extensive technical backgrounds in building massive data environments and enjoy mentoring developing engineers.
Daily work involves writing production-grade code, defining data governance standards, and evaluating software integration choices. The selected individual will report directly to the Senior Director of Data Engineering and collaborate directly with product, security, and legal teams. This remote opportunity suits experienced data infrastructure experts capable of guiding cross-functional architectural roadmaps.
Responsibilities
- Design and implement a modern data platform supporting real-time and batch integrations alongside advanced analytics
- Partner with company leadership and product teams to build technical solutions that align with business goals
- Establish standards for data modeling, ingestion, enrichment, and storage across data warehousing tools
- Develop production-grade code across the technology stack and provide team mentorship
- Collaborate with security and legal departments to enforce data protection regulations and platform fault tolerance
- Evaluate build-versus-buy decisions and integrate appropriate vendor technologies
- Coordinate with data science and machine learning groups to support artificial intelligence infrastructure
Requirements
- Have at least 8 years of professional background in data engineering, data architecture, or related disciplines
- Accumulate a minimum of 5 years working at the Principal Engineer level
- Demonstrate experience designing and operating large-scale data systems using Kafka and associated tools, ClickHouse, Tinybird, and Snowflake
- Show proficiency working with cloud platforms including AWS, Azure, or GCP
- Possess expertise in data security, governance, and maintaining compliance standards
- Exhibit communication and collaboration skills sufficient to influence technical and non-technical stakeholders
Qualifications
- Hold a Master degree in Computer Science, Engineering, or a related field
- Display industry recognition or visible contributions to data engineering such as published articles or open-source projects
Core Skills
Benefits
- Receive a competitive compensation package featuring equity
- Access an inclusive healthcare package
- Utilize mentorship programs and receive support for attending industry events
- Take advantage of flexible time off policies
- Obtain necessary hardware gear along with a work-from-home budget to outfit personal workspace
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the posting specifies that the role is remote within the United States.
What salary does this position offer?
The base pay range for San Francisco, California is $232,000 to $348,000, while compensation outside of San Francisco may be adjusted based on the employee location.
What experience level is required for this role?
Candidates must have at least 8 years of experience in data engineering, data architecture, or related areas, including at least 5 years at the Principal Engineer level.
What technologies will I work with?
The platform utilizes modern technologies including Kafka, Kafka Streams, Confluent Platform, ClickHouse, Tinybird, and Snowflake, alongside major cloud providers like AWS, GCP, or Azure.
Sample Interview Questions
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