Role in brief
Phantom is looking for a Senior Data Engineer to design data architecture and lead quality initiatives. Ideal candidates have extensive experience in high-growth environments and strong skills in Snowflake, dbt, SQL, and Python.
About the role
In this role, you will be responsible for designing and implementing robust data architecture that can handle significant growth while ensuring performance and reliability. You will lead data quality initiatives and drive sophisticated data modeling efforts to support the company's expansion.
You will work closely with various stakeholders to translate complex business needs into scalable data solutions. This position requires technical leadership, mentoring others on data best practices, and building A/B testing frameworks to facilitate data-driven decision-making.
Skills that matter here
- Snowflake: You will utilize Snowflake to design and implement data architecture.
- dbt: Experience with dbt is essential for managing data transformations.
- SQL: Expert-level SQL skills are necessary for data manipulation and analysis.
- Python: Proficiency in Python will support data processing and automation tasks.
Who this role suits
- A seasoned data professional with a strong background in high-growth startups.
- Resourceful and able to prioritize high-impact work in a lean team.
- Someone who thrives in a remote environment and can independently drive initiatives.
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
Requirements
- 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
Nice to Have
- 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
Questions about this role
What is the remote policy?
This is a fully remote position.
What level of experience is required?
Candidates should have 5+ years of experience in building and scaling data infrastructure.
How do I apply?
You can apply through the company's website at https://phantom.app/?ref=sailonchain.com.
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