Vercel · job-boards.greenhouse.io · checked today
Software Engineer - Data Platform
<div class="content-intro"><h2>About Vercel:</h2> <p><span data-sheets-root="1">Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.</span></p>
Skills, with evidence
- Data modelling
Define and maintain guidelines for data ingestion, creation, enrichment, and storage, while overseeing data modeling, ETL processes, and data warehousing (ClickHouse, Tinybird, Snowflake) to achieve low-latency analytics and scalable storage.
must have - Streaming
Design and implement a next-generation data platform that supports diverse requirements, including batch and real-time integrations, advanced analytics, and multiple data types, leveraging Kafka, Kafka-based tooling, and additional streaming technologies to power real-time data movement and processing.
must have - Warehousing
Define and maintain guidelines for data ingestion, creation, enrichment, and storage, while overseeing data modeling, ETL processes, and data warehousing (ClickHouse, Tinybird, Snowflake) to achieve low-latency analytics and scalable storage.
must have - AWS
Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.
must have · not practised here - Azure
Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.
must have · not practised here - GCP
Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.
must have · not practised here - Machine learning
Collaborate with data scientists and machine learning teams to evolve infrastructure that supports advanced analytics and AI initiatives, serving as a key contributor to strategy, tooling, and platform enhancements for ML-related workloads.
must have · not practised here - Data quality
Strong background in data governance and security, and adept at ensuring compliance with regulatory standards and protecting sensitive information.
must have - Governance & security
<p>You'll lead from the front, writing production-grade code, setting high standards for design and data governance, and mentoring a team of engineers as the organization grows.
not practised here - Failure handling
<li>Partner with Security, Compliance, and Legal teams to ensure adherence to data protection standards, and champion high availability and fault tolerance through comprehensive monitoring, alerting, and incident response practices.</li>
Your plan
- The SQL screen: correct, then fast≈ 1 h
Data quality
- Average order value by countryFoundations
- Bucket missing countriesFoundations
- Customers who never orderedFoundations
- Hiring funnel by roleFoundations
- Orders with no line itemsFoundations
- Data modelling: the round most people fail≈ 2 h
Data modelling · Warehousing
- Marketplace core entitiesFoundations
- Cinema seat bookingFoundations
- City parking baysFoundations
- Dating app matchesFoundations
- Food delivery ordersFoundations
- Pipeline design: safe to run twice≈ 3 h
Streaming · Failure handling
- After the first one finishesFoundations
- The history nobody keptFoundations
- The spreadsheet is a dependencyFoundations
- Waiting for the fileFoundations
- Where did the rows go?Foundations
- Say it out loud≈ 1 h
15 drills · Foundations + Intermediate≈ 6 hours
Not covered by the plan: AWS, Azure, GCP, Machine learning, Governance & security.
Readiness
Counted from drills you have completed anywhere on D8LooP.
leaves in 7 dremoved the moment Vercel closes it