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Data Engineering Senior Manager

New York City💼 Full-time🗓 2026-08-17 → 2026-09-27

Core

Lead the Data Engineering organization to build a scalable platform and development model that enables domain experts to perform analytics engineering independently, focusing on data legibility, dbt/Snowflake standards, and AI-assisted workflows.

Role type

Senior Manager, Data Engineering (People Leadership & Strategy)

Builds

Enterprise data warehouse, analytics engineering platform, and scalable data development patterns for the company's payments and rewards infrastructure.

Domain

Fintech / Payments / Data Engineering

Deliverable

production ML models | product features | dashboards & analysis | infrastructure

Required skills

Team leadership and hiring, Analytics engineering strategy, dbt expertise, SQL fluency, Python familiarity, Architectural judgment, AI workflow integration, Organizational design

Preferred skills

Experience in high-growth startup or fintech, First-principles thinking, Stakeholder management across Infrastructure, Analytics, and Product teams

Technologies

dbt, Snowflake, Python, SQL

Responsibilities

Build and lead a high-performing Data Engineering team; Set technical direction for data modeling and architecture; Partner with Infrastructure to build tooling and guardrails; Shape the future of the Data organization via roadmap and hiring; Introduce AI-assisted workflows to improve the analytics engineering lifecycle.

Seniority

Senior, hands-on IC with people leadership

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