Databricks дает хорошие перспективы в сфере AI и данных и четко описывает практическую роль инженера по работе с клиентами, но без зарплаты и с обязательной работой из офиса в Нью-Йорке условия сложнее оценить.
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Зарплата не указанаСовременный стекСфера AIПонятные задачиТолько офис
Оценка от Hirify AI
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Solutions Engineer (AI and Data Analytics): Building customer prototypes, demos, reference architectures, and reusable assets on the Databricks Data Intelligence Platform with an accent on AI, data analytics, and customer-facing solution design. Focus on translating customer problems into working implementations, developing production-ready architectures, and accelerating adoption through technical workshops and collaboration.
Location: In-office in New York City, New York (Midtown); candidates must be based at this location. Relocation assistance is not provided.
Company
Databricks develops a unified Data and AI Platform used to build and scale data applications, analytics, and AI agents.
What you will do
Build customer relationships and provide technical and business value in collaboration with Account Executives.
Advise customers on architecture, design, implementation, and adoption of the Databricks Data and AI Platform.
Develop working prototypes, demos, code, and reusable assets based on customer problems.
Author reference architectures, how-to materials, and demo applications.
Lead customer workshops, seminars, and meetups while scaling best practices in the region.
Use AI tools to improve productivity and develop technical or industry specialization.
Requirements
Must be based in the Databricks Midtown office in New York City; this is an in-office role.
At least 2 years of technical experience in a customer-facing solutions engineering role.
Bachelor’s degree in Computer Science, Data Science, Information Systems, Engineering, or equivalent work experience.
Hands-on experience with Python, Java, or Scala, plus proficiency in SQL.
Ability to prototype hands-on, learn by doing, use AI-assisted development tools, and interact confidently with customers.
Ability to meet technical training and role-specific expectations within 6 months of hire.
Nice to have
Experience with Big Data technologies and architectures, including Spark, Hadoop, or Kafka.
Culture & Benefits
Customer-first, proactive, collaborative, and innovation-focused working environment.
Opportunities to develop expertise in AI, data analytics, architecture, and implementation.
Comprehensive employee benefits and perks, with details varying by region.
Inclusive workplace committed to equal employment opportunity and diversity.
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