Назад
1 день назад

Delivery Solutions Architect

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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Мэтч & Сопровод

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Описание вакансии

Текст:
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TL;DR
Delivery Solutions Architect (Data and AI): Driving post-technical-win adoption, production deployment, and healthy consumption of Databricks workloads for strategic enterprise accounts with an accent on executive engagement, technical accountability, and value realization. Focus on building complex customer success plans, resolving escalations, coordinating cross-functional experts, and accelerating data engineering, warehousing, and machine learning use cases into production.

Location: Hybrid, Seoul, South Korea

Company

Databricks is a Data and AI company providing the Databricks Data + AI Platform, including Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog, to more than 20,000 organizations worldwide.

What you will do

  • Own post-technical-win account strategies and investment plans for Databricks use cases across strategic enterprise accounts.
  • Lead onboarding, enablement, production deployment, go-live, adoption, and healthy consumption for assigned customer use cases.
  • Act as the accountable technical leader and first point of contact for production and go-live issues, coordinating Databricks teams, partners, professional services, support, and specialist experts.
  • Create and execute points of view, success plans, technical roadmaps, governance models, and investment plans to accelerate use cases into production.
  • Navigate Product and Engineering teams for new product innovations, private previews, and upgrades involving DBR, E2, and Unity Catalog.
  • Provide executive and operational updates on KPIs, consumption, customer health, risks, product adoption, and use-case progression while developing reusable assets and mentoring DSA and account-team members.

Requirements

  • 8+ years of experience in a customer-facing pre-sales, technical architecture, customer success, or consulting role.
  • Experience with architecture for distributed data systems in at least one area: data engineering technologies such as Spark, Hadoop, or Kafka; data warehousing such as SQL, OLTP, OLAP, or DSS; or data science and machine learning technologies such as pandas, scikit-learn, or HPO.
  • Ability to manage multiple projects and engage virtual subject-matter-expert teams to address onboarding and technical challenges.
  • Experience influencing and leading internal and external teams without direct reporting responsibility.
  • Experience managing executive stakeholders, influencing technical and non-technical audiences, and building strong CxO-level relationships.
  • Experience resolving complex and critical escalations with senior customer and internal executives.
  • Experience conducting open-ended discovery workshops, creating strategic roadmaps, performing business analysis, and managing complex programs or projects.
  • Experience building and steering value cases through business value consulting and realization.
  • Quota ownership, quota achievement, and a strong performance record against objective targets.
  • Native-level Korean and business-level English, both verbally and in writing.

Culture & Benefits

  • Hybrid work arrangement in Seoul, South Korea.
  • Comprehensive employee benefits and perks tailored to the relevant region.
  • Inclusive hiring practices and a diverse, inclusive workplace.
  • Opportunity to mentor colleagues and develop reusable, scalable assets for the DSA organization.

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