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2 часа назад

Senior Manager, Data Engineering (Fintech)

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

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TL;DR
Senior Manager, Data Engineering (Fintech): Owning and expanding the production data platform powering wealth management, including custodial ingestion, the security master, canonical financial models, and AI-ready data products with an accent on data quality, governance, and financial data modeling. Focus on defining the platform roadmap, resolving multi-vendor reference data, unifying accounts and transactions, and leading the data engineering team as it scales.

Location: Hybrid - New York, NY

Company

hirify.global is a fast-scaling registered investment advisor combining wealth management expertise with fintech and technology to deliver tailored financial services.

What you will do

  • Own and execute the data platform roadmap from custodial ingestion through the security master and AI-ready data products.
  • Lead and grow the data engineering team while setting standards for technical quality.
  • Own reference data, corporate actions, and golden-source resolution across multiple vendors.
  • Design canonical models for accounts, positions, and transactions across Schwab, Fidelity, Pershing, and other custodians.
  • Drive data quality, reconciliation, lineage, and governance for regulated datasets.

Requirements

  • 8+ years of experience in data platform roles, including 4+ years managing data teams.
  • Deep experience with security masters, instrument reference data, corporate actions, and multi-vendor golden-source resolution.
  • Prior experience on the data team at a broker/dealer.
  • Exceptional data modeling skills with PostgreSQL, SQL, and Python.
  • Strong hands-on experience with AWS, including S3, Lambda, ECS Fargate, Glue, Athena, and Step Functions.
  • Ability to work in a hybrid setup in New York, NY.

Nice to have

  • Experience running a global or distributed data team.
  • Bitemporal or point-in-time financial data modeling experience.
  • Experience with data governance, lineage, and fine-grained access control.
  • Experience supporting AI/ML systems with production data products.

Culture & Benefits

  • Book clubs, seminars, and peer learning sessions.
  • Competitive compensation package tied to impact.
  • Full health benefits, 401(k) matching, and Roth IRA options.
  • Unlimited paid time off.
  • Collaborative work across product, design, and engineering teams.

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