Senior Data Engineer - Phantom

About Phantom

Phantom is on a mission to connect the world to the freedom of open markets. Tens of millions of people all over the world use Phantom to access global markets that never close, including perpetuals, prediction markets, tokenized assets, stablecoins, and memes. Phantom users are able to discover the markets that matter and the cultural moments that shape them, building conviction through real-time data and the verified performance of top traders. With self-custody and access to open networks at its core, Phantom lets users control their financial moves in the same app they use to safely store or spend money worldwide.

Phantom has reached #1 in Google Play's finance category and consistently ranks in the top 50 apps across all categories. We are around 180 people, fully remote, and backed by a $150M Series C investment from a16z, Sequoia Capital, and Paradigm.

The Role

As a Senior Data Engineer at Phantom, you’ll help build and scale the foundation that powers analytics, experimentation, and decision-making across the company. You’ll work on complex onchain data problems that few companies in crypto can tackle, joining a lean, high-impact team that directly drives product growth and user trust.

You’ll collaborate with Data Science, Product, and Engineering to design scalable data systems that bring together blockchain data, product analytics, and marketing integrations, enabling the entire company to move faster and with confidence.

Responsibilities

• Architecture & Scale: Design and implement robust data architecture capable of handling 100s of TBs with 10x growth trajectory while maintaining performance and reliability.
• Data Quality Leadership: Drive data quality initiatives across the organization, implementing observability and monitoring solutions to ensure data accuracy, freshness, and reliability.
• Data Modeling Excellence: Lead sophisticated data modeling efforts to support exponential business growth, ensuring scalability and performance.
• Experimentation Infrastructure: Build and scale A/B testing frameworks to enable data-driven decision making across the organization.
• Cross-functional Partnership: Collaborate with stakeholders to translate complex business requirements into scalable data solutions.
• Technical Leadership: Mentor teams on data best practices and drive adoption of data-driven methodologies.

Qualifications

• 5+ years of extensive 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 Qualifications

• Experience with our tech stack: Snowflake, dbt, Rudderstack, Sigma Computing, Metaplane, Eppo.
• Experience with blockchain or cryptocurrencies.
• History of improving dashboard performance and query optimization at scale.
• Experience implementing data cataloging and metadata management solutions.

Benefits

(Only available to full-time employees)

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