3 месяца назад
Senior Data Manager (BigQuery)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Data Manager (BigQuery): Managing and optimizing a centralized data warehouse on Google BigQuery to support AI-native transformation with an accent on cost control, resource allocation, and platform usability. Focus on designing architectures for AI use cases, optimizing SQL transformation logic, and establishing budget management workflows for cloud expenditures.
Location: Hybrid in Minato City, Tokyo, Japan
Company
A global marketplace app dedicated to circulating all forms of value to unleash the potential in all people.
What you will do
- Continuously improve the BigQuery-based data analytics platform regarding access control, resource allocation, cost optimization, and usability.
- Provide domain expertise in cloud data warehouse resource and cost management to maintain a highly efficient analytics environment.
- Establish comprehensive workflow cycles from individual query tuning to end-to-end forecasting and budget management for cloud expenditures.
- Collaborate with diverse stakeholders, including security and privacy teams, to align the platform with operational and compliance requirements.
- Lead team collaboration to build an infrastructure that balances high usability, cost efficiency, and robust security.
Requirements
- Deep understanding of cloud data warehouse architecture and cost structures, including practical IaaS implementation knowledge.
- Hands-on experience in analyzing and optimizing data transformation logic using SQL within a DWH environment.
- Strong leadership and project management skills to drive projects with governance teams and data users.
- Japanese: B2 required
- English: B2 required
Nice to have
- Experience in FinOps, specifically focused on query computing resource optimization and cost allocation.
- Experience implementing and managing ETL/ELT pipelines for data marts.
- Experience designing or managing data infrastructure specifically tailored for AI/LLM utilization.
Culture & Benefits
- Flexible work environment with full flextime (no core hours).
- Commitment to Inclusion & Diversity, ensuring equal opportunity regardless of background.
- Opportunity to work in an AI-native organization with a multidisciplinary team of data experts.
Hiring process
- Application screening and technical skill assessment (HackerRank or GitHub).
- Multiple rounds of interviews depending on the position.
- Online reference check prior to the final offer.
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