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2 дня назад

Data Warehouse Sr. Manager

Формат работы
onsite
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
Data Warehouse Sr. Manager (Enterprise Data Warehousing): Leading a 12–15-person team to execute enterprise data warehouse initiatives and evolve the platform for next-generation data capabilities with an accent on data governance, physical data modeling, and cloud technologies. Focus on building high-performing teams, translating logical designs into governed implementations, managing multi-terabyte warehouse environments, and enabling reporting and advanced analytics.

Location: Columbus, OH, United States. Workplace type: Office; specific work arrangements will be provided by the hiring team.

Company

hirify.global is a financial institution building enterprise data and analytics capabilities.

What you will do

  • Lead a team of 12–15 colleagues and contractors through resource allocation, coaching, and talent development.
  • Lead cross-functional agile delivery, providing data warehousing thought leadership and technology oversight.
  • Define the data technology roadmap and execute enterprise data warehousing initiatives.
  • Translate logical designs from data architects into physical data models aligned with governance, enterprise architecture, and business requirements.
  • Manage operational data sources, data acquisition, downstream systems, incidents, and continuous improvement metrics.
  • Partner with Data Technology, the Chief Data & Analytics Office, and business and technology leaders to enable an effective data ecosystem.

Requirements

  • Bachelor’s degree.
  • 10+ years of hands-on experience with multi-terabyte data warehousing engineering projects.
  • 7+ years of experience managing technology teams focused on data warehousing.
  • Experience with data governance, data management, data quality, and enterprise data warehousing best practices.
  • Experience translating requirements and logical designs into physical implementations.
  • Strong organizational, communication, collaboration, and team leadership skills.

Nice to have

  • Experience with AWS, Snowflake, DataLake, Python/PySpark, and Erwin Enterprise Data Modeler.
  • Experience with operational data stores, staging, data integration, master data management, dimensional and snowflake design, data marts, managed views, and analytical sandboxes.
  • Experience with business intelligence and advanced analytics.

Culture & Benefits

  • Full-time exempt position.
  • Office-based workplace approach with possible flexible arrangements for eligible positions.
  • Equal opportunity and tobacco-free hiring practices.

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