Lead Data Engineer
Description For Lead Data Engineer
Notabene, backed by Y Combinator and other leading investors, is revolutionizing the crypto economy by making transactions safe and compliant. As a Lead Data Engineer, you'll be at the forefront of shaping how crypto transactions are settled globally. This role combines technical expertise with business impact, as you'll be responsible for building and maintaining data pipelines, scaling warehouse architecture, and ensuring data insights are optimized across the organization.
Working in a remote-first environment across three continents, you'll collaborate with stakeholders to transform BI requirements into accessible, real-time reporting. The role requires expertise in ETL pipelines, data governance, and security, particularly around PII data. You'll use technologies like dbt, Airbyte, Cube, DuckDB, Redshift, and Superset to build robust data infrastructure.
The ideal candidate brings 8+ years of data engineering experience with large datasets, strong SQL and Python skills, and AWS expertise. You'll need to be both technically proficient and business-savvy, capable of working with finance, revenue, and ops leaders. Experience in crypto or fintech is a plus, but not required.
This is an exciting opportunity to join a growing company that's becoming increasingly vital to the crypto ecosystem. You'll help shape the future of crypto transactions while working with a diverse, global team serving 100+ customers, including major financial institutions and fintechs. The role offers the chance to drive forward a data-driven culture and make significant impact on strategic decisions at both executive and business unit levels.
Responsibilities For Lead Data Engineer
- Design, develop, and maintain scalable ETL pipelines using technologies like dbt, Airbyte, Cube, DuckDB, Redshift, and Superset
- Work closely with stakeholders across the company to gather data requirements and setup dashboards
- Promote a data driven culture and train, upskill power-users across the organization
- Ensure data governance and security practices are in place, especially around high-security PII data
- Monitor, optimize, and troubleshoot data infrastructure and pipelines to ensure performance and scalability
Requirements For Lead Data Engineer
- 8+ years working in data engineering with large sets of data
- Proven experience in building and maintaining ETL pipelines and data infrastructure
- Strong experience working with dbt core/cloud
- Business savvy and capable of interfacing with finance, revenue and ops leaders
- Expertise in data governance, best practices, and data security, especially related to PII
- Proficiency in SQL and Python and with experience working in AWS
- Strong problem-solving skills and attention to detail
- Proficient self-starter and comfortable working with ambiguity
- Excellent communication skills
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