jobapplier

Lead Data Engineer

Coast

Skills

Required

  • AI
  • data warehouses
  • Data Engineering
  • AI-native
  • Redshift / Snowflake
  • data pipeline tools
  • Dagster
  • medallion architecture
  • Python
  • data ecosystem
  • modern ETL/ELT
  • orchestration
  • columnar stores

Preferred

  • DDD

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.

Responsibilities

  • 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.

Requirements

  • 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

Pay

USD 170,000 - 220,000