Databricks предлагает senior-роль в ведущей продуктовой компании в сфере данных и ИИ с широкой ответственностью за внедрения у крупных клиентов; коммерческие цели и поездки до 30% существенно влияют на характер работы.
?Широкая зона ответственности
?Коммерческие цели
?Поездки до 30%
Сильный сектор
Крупный продукт
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Delivery Solutions Architect (Data & AI): Leading post-sale technical delivery, adoption, and production acceleration for complex customer workloads on the Databricks Data Intelligence Platform with an accent on distributed data systems, stakeholder governance, and use-case execution. Focus on designing strategic roadmaps, coordinating technical teams, resolving executive escalations, and driving workloads from technical win to production and healthy consumption.
Location: Hybrid role in Vancouver, Calgary, Edmonton, Toronto, or Montreal, Canada; travel up to 30% when needed
Salary: CAD 175,800–241,800 per year
Company
Databricks is a Data and AI company providing the Databricks Data + AI Platform for data, analytics, and AI applications.
What you will do
Lead post-sale technical account strategies and execution plans for prioritized customer use cases, taking workloads from technical win through onboarding, enablement, go-live, and healthy consumption.
Act as the accountable technical leader and first contact for production and go-live issues across complex strategic accounts.
Coordinate Solutions Architects, Shared Services, User Education, Onboarding and Technical Services, Support, Professional Services, Product, and Engineering teams.
Develop and execute plans for use-case production acceleration, user growth, product adoption, cloud cost control, tuning, optimization, and governance.
Build executive relationships, manage stakeholders and resources, and provide KPI updates on investment status, risks, product adoption, use-case progression, and customer health.
Navigate product innovations, private previews, and upgrade needs across Databricks teams.
Requirements
7+ years of experience accountable for technical project or program delivery in Data and AI, with the ability to contribute to customer technical debates and design choices.
Programming experience in Python, SQL, or Scala.
Experience in customer-facing pre-sales, technical architecture, customer success, or consulting.
Understanding of solution architecture for distributed data systems and of attributing business value and outcomes to project deliverables.
Technical program or project management experience, including account, stakeholder, and resource management accountability.
Experience resolving complex, important escalations with senior customer executives.
Experience conducting open-ended discovery workshops, creating strategic roadmaps, performing business analysis, and managing complex programs or projects.
Track record of overachievement against quota, goals, or similar objective targets.
Bachelor’s degree in Computer Science, Information Systems, Engineering, or equivalent experience through work experience.
Culture & Benefits
Hybrid work arrangement in designated Canadian locations.
Comprehensive regional benefits and perks.
Potential eligibility for annual performance bonus and equity; compensation varies based on skills, experience, certifications, training, and work location.
Inclusive hiring practices and a commitment to diversity and equal employment opportunity.
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