Senior Data Engineer

About the role

As a Senior Data Engineer at Phantom, you will be responsible for designing and implementing a robust data architecture capable of handling significant growth. You will lead data quality initiatives and drive sophisticated data modeling efforts to support business expansion.

In this fully remote role, you will collaborate with various stakeholders to translate complex business needs into scalable data solutions. Your technical leadership will help mentor teams on best practices, ensuring the organization maintains high standards of data accuracy and reliability.

Skills that matter here

• Snowflake: This role requires deep expertise in Snowflake to build and scale data infrastructure.
• dbt: Proficiency in dbt is necessary for implementing data modeling and quality frameworks.
• Python: Strong Python skills are needed for developing data solutions and experimentation infrastructure.
• SQL: Expert-level SQL skills are essential for managing and querying large datasets.

Who this role suits

• Candidates should have a strong background in startups and be comfortable taking initiative independently.
• A successful candidate will thrive in a flexible remote environment and appreciate the importance of data quality.
• Experience in high-growth environments and a passion for data-driven decision-making is crucial.

From the employer

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.

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 (and we really mean it!).
• 401(k) retirement plan.
• Wellness stipend.
• Weekly meal stipend.
• Learning & Development stipend.
• Remote / WFH set-up stipend.