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15 часов назад

Data Engineering Manager (Fintech)

170 000 - 200 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
Английский
b2
Страна
US
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Data Engineering Manager (dbt/Snowflake): Building and leading a data engineering organization that creates trusted enterprise data models and scalable analytics engineering platforms with an accent on data quality, reusable abstractions, and distributed development. Focus on setting technical direction, introducing AI-assisted workflows, and designing tooling and guardrails that help domain experts contribute safely.

Location: Hybrid in New York City or San Francisco, United States

Salary: $170K–$200K plus equity

Company

hirify.global builds co-branded credit cards, payments infrastructure, intelligent underwriting, and customer data products for brands and their customers.

What you will do

  • Build, lead, and grow a high-performing Data Engineering team, including hiring, coaching, performance management, and development of senior technical leaders.
  • Set the technical direction for data engineering, guiding architecture, data modeling, engineering practices, and platform decisions.
  • Develop AI-assisted workflows that improve speed and quality across the analytics engineering lifecycle.
  • Partner with Infrastructure, Analytics, Data Science, Product, Engineering, Finance, and other teams to define ownership and improve data usability.
  • Shape organizational design, hiring strategy, roadmap prioritization, and investment decisions with the Head of Data.
  • Build tooling, workflows, review processes, abstractions, and guardrails that enable domain experts to contribute safely to the enterprise data warehouse.

Requirements

  • Track record of building and leading high-performing data or analytics engineering teams.
  • Deep analytics engineering expertise with dbt and experience modeling complex business domains.
  • Strong technical judgment in data modeling, architecture, reliability, and engineering standards.
  • Strong SQL fluency and familiarity with Python and modern software engineering practices.
  • Experience introducing AI-assisted workflows at scale.
  • Experience in a high-growth startup, fintech, or another environment where data correctness and reliability are critical.

Culture & Benefits

  • Competitive compensation and equity package.
  • Choice of configured work computer.
  • Flexible paid time off.
  • Fully covered healthcare, including dependent coverage, with access to One Medical and an FSA option.
  • 20 weeks of paid parental leave for primary caregivers and 8 weeks for all new parents.
  • Access to technology and resources intended to support innovation, optimization, and productivity.

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