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1 день назад

Head Of Data (Fintech)

315 000 - 385 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
head
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

Head Of Data (Fintech): Lead and evolve a modern, reliable data ecosystem powering analytics, machine lhirify.globalg, and product engineering with an accent on data platform reliability, governance, and AI enablement. Focus on designing and scaling distributed data systems, driving company-wide data strategy, and operational excellence in a hybrid Mountain View role.

Location: Hybrid in Mountain View, US, with 2 days in-office per week

Salary: $315,000–$385,000 per year

Company

hirify.global is a fintech pioneer in earned wage access, providing real-time financial flexibility without fees, interest, or credit checks.

What you will do

  • Lead and scale a high-performing data organization across engineering, ML infrastructure, and analytics.
  • Define and execute a company-wide data strategy aligned with platform, product, and AI/ML needs.
  • Manage vendor and technology partnerships to accelerate data capabilities.
  • Champion a data-driven culture enabling confident, insight-led decisions.
  • Ensure data platform reliability, observability, and cost efficiency.
  • Collaborate cross-functionally to deliver well-governed data solutions and shape technical direction.

Requirements

  • Location: Hybrid role based in Mountain View, US, requiring in-office presence 2 days a week
  • 7+ years in data engineering, infrastructure, and systems; 5+ years leading engineering teams.
  • Bachelor's degree in Computer Science, Engineering, Statistics, or equivalent experience.
  • Expertise with distributed systems (Spark, Flink), event-driven pipelines (Kafka), and cloud platforms (AWS preferred).
  • Proficiency in Python and SQL; Scala and Databricks experience is a plus.
  • Strong understanding of SQL and NoSQL database design, CI/CD, Terraform, Git, and data governance frameworks.

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