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7 часов назад

Data Engineering Manager (Financial Services)

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

Текст:
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TL;DR
Data Engineering Manager (Financial Services): Leading data engineering teams and operating enterprise data platforms for reporting, analytics, data science, AI, and data quality initiatives with an accent on scalable pipelines, data modeling, and governance. Focus on building automated data jobs, implementing reconciliation and monitoring frameworks, and coordinating delivery across concurrent data initiatives.

Location: Miami, Florida, United States; onsite 4 days per week

Company

hirify.global is a U.S. wealth management platform serving high- and ultra-high-net-worth individuals and families through more than 40 offices.

What you will do

  • Lead, mentor, and develop a data engineering team supporting reporting, analytics, data science, AI, and data quality initiatives.
  • Plan and manage delivery across multiple concurrent data initiatives, including sprint planning and backlog prioritization.
  • Design, architect, develop, and maintain scalable enterprise data pipelines, transformations, models, and workflows.
  • Operate automated data jobs supporting data science, analytics, and reporting.
  • Establish data quality frameworks with validation, reconciliation, monitoring, alerting, lineage, metadata management, and documentation.
  • Partner with Analytics, Operations, and Business teams to deliver reliable data solutions.

Requirements

  • 8–12+ years of experience in data engineering, data platform development, or analytics engineering.
  • 3–5+ years of experience leading engineering teams.
  • Experience building enterprise data platforms for reporting and analytics.
  • Hands-on experience with data modeling, ETL/ELT pipelines, analytics engineering, and data operations.
  • Proficiency in SQL, Python, and dbt, with strong analytical, problem-solving, communication, documentation, and collaboration skills.
  • Must have unrestricted authorization to work in the United States; U.S. employment opportunities are generally limited to U.S. citizens or permanent residents.

Nice to have

  • Background in financial services, consulting, or high-growth technology environments.
  • Distinguished academic record in data, computer science, or a related discipline.

Culture & Benefits

  • Full-time employment in an office-based environment with a respectful and inclusive workplace.
  • 401(k) plan with employer matching.
  • Medical, dental, vision, life, disability, HSA, and FSA benefits.
  • Paid maternity and parental leave.
  • Training reimbursement, paid professional designations, commuter benefits, and volunteer days.

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