Data Engineering Lead

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Requirements:

• Held a Data Lead, Senior Data Engineer, or Senior Data Scientist role.
• Previous experience in Startups and Fintechs.
• Hands-on experience with setting up and scaling data infrastructure.
• Proficiency in Python, SQL, and modern data tools, including DBT, Snowflake, Fivetran, Hightouch, and other ETL/reverse ETL tools
• Have strong data engineering skills, including data pipeline creation and maintenance.

Responsibilities:

• Design, implement, and maintain a robust data infrastructure using modern tools like DBT, Snowflake, and ETL frameworks.
• Ensure data accuracy, availability, and security across all systems.
• Define and implement key underwriting performance metrics (e.g., default rates and approval times).
• Run experiments to optimize underwriting processes and measure their impact.
• Work closely with Product, Engineering, and Operations to understand workflows and suggest changes to improve data visibility and usability.
• Communicate complex data insights to stakeholders, facilitating informed decision-making.
• Address data bottlenecks impacting SWE teams.
• Lay the groundwork for a scalable data team, mentoring and guiding new hires as the team grows.
• Foster a culture of collaboration, innovation, and data-driven decision-making.