Data Engineering Lead

You will build and own the data platform, including the Snowflake warehouse, production and third-party data ingestion, and the modeled data layer. You will define company metrics, analyze user behavior and experiments, reconcile financial data, identify fraud patterns, and establish data quality, testing, access control, and PII-handling standards. You will select tools, set technical standards, and grow the data team as the company scales.

Responsibilities

• Own the end-to-end data platform, including the Snowflake warehouse, ingestion pipelines, and modeled data layer
• Define and standardize company metrics for funded users, activation, engagement, balances, spend, and retention
• Analyze user behavior across regions, segments, and products to inform product decisions
• Design and analyze experiments
• Reconcile ledgers, providers, and banking partners and deliver revenue and unit-economics reporting
• Identify fraudulent and abusive patterns and build signals and rules for risk and operations
• Maintain data quality, testing, access control, and PII handling
• Choose tools, set standards, and hire the data team

Requirements

• Deep SQL and data modeling skills
• Engineering capability to build and operate production data pipelines
• Experience building and using a data platform
• Ability to make tradeoffs between speed, rigor, build versus buy, and reusable models
• Ability to communicate analysis and recommendations to non-technical leaders
• Ability to write clean, tested code and lead technical decisions

Benefits

• Token compensation
• Gym access
• Daily food
• Visa sponsorship
• Relocation support
• Premium health insurance for you and your family
• Monthly wellness budget
• Tools and technology needed for work