Lead Data Engineer

Join Coast, a fast-growing startup in the fintech space, as a Lead Data Engineer. In this role, you will be responsible for building and maintaining our data infrastructure, making data accessible to all employees, and driving data-driven decision-making across the company. You will lead a small team, set data standards, and contribute to our data pipelines. This is an opportunity to make a significant impact on the company's success and be at the forefront of the AI revolution.

• Diriger l'équipe d'ingénierie des données, en établissant des normes et des modèles pour l'ingestion des données, et en veillant à ce que les consommateurs de données puissent construire des modèles efficacement.
• Construire de nouvelles capacités, telles qu'un catalogue de données et des couches sémantiques, qui rendent les données découvrables pour vos collègues à travers l'entreprise.
• Aider les équipes d'ingénierie produit à évoluer en passant de la considération des données comme des déchets à la construction de produits de données basés sur DDD.

• Experience leading a horizontal Data Engineering team, working with analytics and product engineering teams
• Mentorship experience, both of data engineers and members of other teams who have to touch data products
• AI-native mindset: you’re already using AI tools in your daily work and you’re excited to push further
• Experience with data warehouses such as Redshift or Snowflake (we use Redshift), data pipeline tools (we use Dagster), dbt, and medallion architecture
• Proficiency in Python
• Bias toward action and process-building; you don’t wait for someone to hand you a playbook
• Comfortable in ambiguity; you can build structure where none exists without losing momentum
• Excellent written and verbal communication
• 7+ years hands-on experience working across the data ecosystem, from modern ETL/ELT and orchestration to data warehouses and columnar stores, from BI tooling for less-technical business users to SQL optimization
• New York City based; able to be in-office 3–4 days per week