Senior Data Engineer
Join Phantom as a Senior Data Engineer to build scalable data systems that drive product growth and user trust in a fully remote environment.
Posted by employer 13 hours ago
First seen on Joblaze 10 hours ago
Last verified on the company career page 10 hours ago
What you'll build
- Design and implement robust data architecture
- Drive data quality initiatives
- Lead data modeling efforts
- Build A/B testing frameworks
- Collaborate with stakeholders
Must have
- 5+ years of extensive experience building and scaling data infrastructure
- Proven experience in startup environments
- Deep expertise in modern data stack tools
- Strong background in data modeling and architecture
- Expert-level SQL skills
- Proficiency in Python
Nice to have
- Experience with Snowflake, dbt, Rudderstack
- Experience with blockchain or cryptocurrencies
- History of improving dashboard performance
- Experience implementing data cataloging solutions
Requirements
- Experience
- 5+ years
Not disclosed in this posting: compensation, visa sponsorship.
Benefits
Joblaze summary
In the role of Senior Data Engineer at Phantom, the individual will focus on designing and implementing scalable data architectures to support analytics and decision-making across the organization. Key skills include expertise in modern data stack tools like Snowflake and dbt, along with strong SQL and Python proficiency. This position is ideal for seasoned professionals with a background in high-growth environments, particularly those who thrive in lean teams and can manage complex data challenges. The role offers the chance to directly influence product growth and user trust in a rapidly evolving fintech landscape.
Joblaze insights
Quick facts
- Is the Senior Data Engineer role remote?
- Yes — Phantom lists this as a fully remote position.
- How much experience is required?
- At least 5 years of relevant experience for this Senior Data Engineer role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: Python, SQL, Snowflake, dbt.
- What seniority level is this role?
- Phantom targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Senior Data Engineer role at Phantom.
From the original posting
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 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
This ideal candidate will be a seasoned data professional who can architect solutions for our next phase of growth while maintaining the highest standards of data quality and performance, thriving in a lean two-person data team where resourcefulness and ability to prioritize high-impact work is essential.
Build for global impact: Create products used by tens of millions of people, making innovative financial markets more accessible to users around the world.
Benefits (only available to full-time employees)
Competitive salary and equity
Comprehensive insurance (medical/dental/vision): base plan 100% covered
401(k) retirement plan
Wellness stipend
Weekly meal stipend
Learning & Development stipend
Remote / WFH set-up stipend
Standard company text repeated across Phantom's postings is omitted here.