Senior Data Engineer

Phantom

. Design and implement robust data architecture capable of handling hundreds of terabytes with a 10x growth trajectory while maintaining performance and reliability .

Posted 10/21/2026full-timeRemoteSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data architecture and infrastructure, with a strong focus on data quality, observability, and A/B testing frameworks. Proven ability to collaborate across teams and mentor others in data best practices while driving data-driven decision-making.

Highest-signal resume keywords

Data ArchitectureData Quality FrameworksA/B Testing InfrastructureSQL ProficiencyPython Proficiency

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data ModelingSchema DesignData Infrastructure ManagementData ObservabilityData CatalogingMetadata ManagementQuery OptimizationDashboard Performance ImprovementExperimentation FrameworksData-Driven Methodologies

Soft Skills

MentoringCollaborationIndependent Initiative

Tools & Technologies

SnowflakeDbtRudderstackSigma ComputingMetaplaneEppo

Industry Keywords

High-Growth EnvironmentsStartup ExperienceBlockchainCryptocurrencies

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Design and implement robust data architecture capable of handling hundreds of terabytes with a 10x growth trajectory while maintaining performance and reliability
Drive data quality initiatives across the organization, implementing observability and monitoring solutions to ensure data accuracy, freshness, and reliability
Lead sophisticated data modeling efforts to support exponential business growth, ensuring scalability and performance
Build and scale A/B testing frameworks to enable data-driven decision-making across the organization
Collaborate with Data Science, Product, Engineering, and other stakeholders to translate complex business requirements into scalable data solutions
Mentor teams on data best practices and drive adoption of data-driven methodologies

Requirements

What you’ll need

5+ years of experience building and scaling data infrastructure in high-growth environments
Proven experience in startup environments, with a track record of wearing multiple hats and driving initiatives independently
Deep expertise in modern data stack tools, particularly Snowflake and dbt
Strong background in data modeling, schema design, and data architecture at scale
Demonstrated experience implementing data quality frameworks and observability solutions
Experience building and scaling experimentation (A/B testing) infrastructure
Expert-level SQL skills and proficiency in Python
Track record of successfully managing data infrastructure during periods of explosive growth
Preferred: Experience with Snowflake, dbt, Rudderstack, Sigma Computing, Metaplane, and Eppo
Preferred: Experience with blockchain or cryptocurrencies
Preferred: History of improving dashboard performance and query optimization at scale
Preferred: Experience implementing data cataloging and metadata management solutions

Benefits

Comp & perks

Competitive salary and equity
Comprehensive insurance (medical/dental/vision): base plan 100% covered
Flexible hours and a long-standing, supportive remote environment
Unlimited vacation
401(k) retirement plan
Wellness stipend
Weekly meal stipend
Learning & Development stipend
Remote / WFH set-up stipend