Software Engineer - Data Platform

• Develop end-to-end solutions across the tech stack, setting the example for engineering excellence, and provide mentorship and direction that fosters continuous improvement and innovation in the team.

• 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.

• Drive architectural decisions and roadmap planning that ensure efficiency, scalability, and high performance, and evaluate build-vs-buy trade-offs, integrating vendor solutions where appropriate.

• 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.

• Act as a key decision-maker for discovering, vetting, and selecting data architectures and technologies critical to Vercel's success, and establish multi-phase strategic roadmaps that align with overall business objectives and drive data platform maturity.

About You

• 8+ years of experience in data engineering, data architecture, or related roles, with at least 5 years at the Principal Engineer level.

• Proven track record designing and operating large-scale data infrastructures at high scale in a complex, fast-paced environment, with experience across Kafka and its ecosystem (e.g., Kafka Streams, Confluent Platform), ClickHouse, Tinybird, Snowflake, and broader big data frameworks.

• Proficiency in cloud platforms (AWS, GCP, or Azure) and associated big data services.

• Strong background in data governance and security, and adept at ensuring compliance with regulatory standards and protecting sensitive information.

• Outstanding communication and collaboration skills, with the ability to influence technical and non-technical stakeholders across varying organizational levels.

• A leadership mindset, with demonstrated ability to mentor teams, drive consensus, and advocate for best practices across the organization.

• A Master's degree in Computer Science, Engineering, or a related field is preferred.

• Industry recognition or notable contributions in data engineering (e.g., published works, open-source contributions) is a plus.

Compensation & Benefits:

• Competitive compensation package, including equity.

• Inclusive Healthcare Package.

• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.

• Flexible Time Off.

• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $232,000 - $348,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Disclosures:

• Privacy: Please review our Job Applicant Privacy Policy for more information on how we handle your data.

• Equal Opportunity: Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don't necessarily check every box on the job description.

• Full-Stack Programming

Source: We Work Remotely