В Databricks предлагают понятную senior-роль в востребованной сфере AI и данных, но зарплата заметно ниже бенчмарка платформы для сопоставимых вакансий, что снижает общую привлекательность.
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Ниже рынкаПонятная рольСфера AI и данныхСильный пакет
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Solutions Architect (AI/ML): Defining technical strategies that help large enterprise accounts evaluate and adopt Databricks for data-driven transformation, with an accent on big data, data science, cloud, and executive value selling. Focus on building technical champion networks, leading virtual teams, guiding ML and AI adoption across enterprise use cases, and mentoring other technical professionals.
Location: Ontario, Canada
Salary: CAD 175,800–241,800 per year, with potential annual performance bonus, equity, and benefits.
Company
Databricks provides a unified Data and AI Platform used by organizations worldwide to build and scale data and AI applications, analytics, and agents.
What you will do
Define and direct technical strategies for large enterprise accounts alongside Enterprise Account Executives.
Act as the primary technical voice for multiple clients and guide their evaluation and adoption of Databricks.
Lead transformational data and AI initiatives across enterprise use cases and industry verticals.
Build technical champion networks and align stakeholders around Databricks solutions.
Establish and lead virtual teams, coordinating with hands-on resources delivering proofs of concept and product demonstrations.
Provide structured mentorship and technical leadership to other team members.
Requirements
Successful pre-sales experience helping large enterprises become more data-driven.
Experience with very large global accounts exceeding $1 million in ARR.
Ability to build relationships with executives and influencers and present convincing technical points of view to decision-makers.
Technical expertise in big data, data science, cloud, and data-driven business transformation.
Production programming experience in Python, R, Scala, or Java.
Experience establishing virtual teams and leading them to successful outcomes.
Nice to have
Databricks Certification.
Culture & Benefits
Comprehensive regional benefits and employee perks.
Potential annual performance bonus and equity eligibility.
Commitment to diversity, inclusion, and equal employment opportunity.
Access to a global organization with offices around the world.
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