2 дня назад
Data Warehouse Sr. Manager
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
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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