В Databricks хорошо очерчена senior-роль в архитектуре данных и есть поддержка профессионального развития, но без информации о зарплате сложнее оценить финансовые условия.
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Зарплата не указанаСовременные технологииПонятные задачиСфера ИИ и данныхПоддержка развития
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Specialist Solutions Architect (Data Warehousing) (Data Warehousing/Cloud): Guiding customers through cloud data warehousing transformations, from evaluations and architecture design to production deployment, with an accent on performance tuning, data modeling, and lakehouse architecture. Focus on architecting large-scale workloads, optimizing end-to-end pipeline performance, planning EDW migrations, and supporting advanced technical sales engagements.
Location: Tokyo, Japan
Company
Databricks is a Data and AI company providing a unified platform for data warehousing, analytics, lakehouse architecture, and AI applications.
What you will do
Provide technical leadership for strategic customers undertaking large-scale cloud data warehousing transformations.
Guide evaluations, architecture design, production deployment, and migration planning for business intelligence workloads.
Architect production workloads and perform end-to-end pipeline load testing, performance tuning, and optimization.
Support Solution Architects with proof-of-concept content, workload sizing, performance estimation, and production tuning.
Deliver tutorials, training, hackathons, and conference presentations to support community adoption.
Contribute to the Databricks Community and develop deep expertise in data warehousing evaluations or workload migrations.
Requirements
5+ years of experience in a technical role focused on data warehousing, query tuning, troubleshooting, migrations, or large-scale data systems.
Experience designing and implementing relational databases, SQL, data analytics, MPP, and OLAP solutions.
Production programming experience with SQL and Python, or Java for developing UDFs.
Experience with AWS, Azure, or GCP and with large analytical workloads, data modeling, governance, BI integrations, or on-premises EDW migrations.
At least 2 years of experience with data warehousing and big data technologies and 2 years of customer-facing pre-sales or post-sales experience.
Fluent Japanese is required; business-level English is preferred. A bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent experience is required.
Nice to have
Databricks Certification.
Culture & Benefits
Mentorship, learning, and internal training programs support continued technical development.
Benefits and perks are provided according to the employee's region.
Inclusive hiring practices support equal employment opportunities.
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