Technical Staff Member – Data Platform

Vercel

. Design and implement a next-generation data platform supporting batch and real-time integrations, advanced analytics, and multiple data types .

Posted 9/16/2026full-timeRemote • United StatesLead💰 $232,000 - $348,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing large-scale data platforms, leveraging technologies such as Kafka, ClickHouse, and Snowflake. Proven ability to mentor teams, ensure data governance, and drive architectural decisions while collaborating with cross-functional stakeholders.

Highest-signal resume keywords

Data EngineeringKafka EcosystemClickHouseData GovernanceAWS

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ArchitectureETL ProcessesData ModelingReal-Time Data ProcessingAdvanced Analytics

Soft Skills

CommunicationCollaborationMentoringInfluencing Stakeholders

Tools & Technologies

KafkaSnowflakeTinybirdAWSGCPAzure

Certifications & Qualifications

Master's Degree in Computer ScienceEngineering

Industry Keywords

Data Protection StandardsRegulatory ComplianceBig Data FrameworksHigh AvailabilityFault Tolerance

Tech Stack

Tools & technologies

AWSAzureETLGoogle Cloud PlatformKafka

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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