SlipstreamJobs tracks this role from the company's public career site. Apply directly on the employer's site.
Phantom is a global fintech platform enabling tens of millions of users to access open financial markets including perpetuals, prediction markets, tokenized assets, stablecoins, and more. The company has achieved #1 ranking in Google Play's finance category and is backed by $150M Series C funding from a16z, Sequoia Capital, and Paradigm. With ~180 fully remote employees, Phantom is building the infrastructure for the next generation of decentralized finance.
As Senior Data Engineer, you will architect and scale the data foundation powering analytics, experimentation, and company-wide decision-making. You'll own complex on-chain data challenges that few crypto companies tackle, working in a lean two-person data team with direct impact on product growth and user trust.
Key responsibilities include:
- Designing and implementing robust data architecture to handle hundreds of terabytes with 10x growth trajectory while maintaining performance and reliability
- Leading data quality initiatives across the organization, implementing observability and monitoring solutions
- Driving sophisticated data modeling efforts to support exponential business growth
- Building and scaling A/B testing frameworks to enable data-driven decision-making
- Collaborating with Data Science, Product, and Engineering to translate business requirements into scalable solutions
- Mentoring teams on data best practices and driving adoption of data-driven methodologies
You'll work with a modern data stack including Snowflake, dbt, Rudderstack, Sigma Computing, Metaplane, and Eppo. The role requires resourcefulness and the ability to prioritize high-impact work in a lean environment.
QUALIFICATIONS (Required):
- 5+ years of extensive experience building and scaling data infrastructure in high-growth environments
- Proven track record in startup environments with ability to wear multiple hats and drive 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 Phantom's 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
