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4 часа назад

Data Solution Architect (Data & AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
SK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Data Solution Architect (Data & AI): Designing enterprise-scale data and cloud architectures for complex customer technology solutions with an accent on Azure, data warehouses, migrations, and advanced analytics. Focus on defining architecture decisions, optimizing data platforms, resolving requirements ambiguity, and leading multidisciplinary technical teams.

Location: Seoul, South Korea; hybrid, with 3 days per week in the office and up to 50% work from home

Company

Microsoft Industry Solutions Delivery provides cloud, AI, architecture, consulting, and delivery services for strategic customers worldwide.

What you will do

  • Translate customer business requirements into systems, applications, process designs, and enterprise-scale data architectures.
  • Gather stakeholder and business sponsor insights to define projects, requirements, constraints, and delivery approaches.
  • Document architecture decisions, requirements traceability, assumptions, and the business value of proposed solutions.
  • Guide design, build, deployment, and technical governance in collaboration with project managers, account teams, and delivery teams.
  • Advocate for customers and share evidence-based insights with product engineering teams to improve Microsoft technologies and services.
  • Lead virtual, multidisciplinary teams addressing complex customer and technology challenges.

Requirements

  • Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related field with 8+ years of relevant experience, or a master’s degree with 6+ years, or equivalent experience.
  • For the extended experience profile: bachelor’s degree with 12+ years of relevant experience, or master’s degree with 8+ years, or equivalent experience.
  • Enterprise-scale experience with cloud and hybrid infrastructure, data migrations, cloud-native data warehouses, storage optimization, and query optimization.
  • Experience with transactional, temporal, time-series, structured, and unstructured data; data modeling; SQL development; database administration; and data integration.
  • Experience with Azure and technologies such as Azure Synapse Analytics, Snowflake, BigQuery, Redshift, Azure Data Lake, Azure Data Explorer, Databricks, Power BI, Tableau, Azure ML, TensorFlow, DevOps, and MLOps.
  • Experience managing multiple projects or portfolios, leading multidisciplinary teams, technical sales, project management, and people management.

Culture & Benefits

  • Hybrid work arrangement with up to 50% of working time from home.
  • Work within a global organization focused on cloud and AI transformation.
  • Growth mindset, collaboration, inclusion, respect, integrity, and accountability are emphasized.
  • Opportunities to contribute to reusable intellectual property and internal and external technical communities.

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