Databricks предлагает работу с заметными задачами в сфере данных и ИИ, но широкий технический охват и работа с клиентами могут быть интенсивными; зарплата не указана, поэтому заранее оценить условия оплаты сложно.
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Широкий охватЗарплата не указанаСовременный стекСфера ИИВлияние на продукт
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Sr. Forward Deployed Engineer (Data & AI): Building and productionizing customer-facing data, AI, and application solutions on the Databricks platform with an accent on end-to-end architecture, distributed computing, and production delivery. Focus on designing secure and scalable systems, integrating data pipelines with ML/AI models and user interfaces, and solving complex customer challenges across technical and business stakeholders.
Location: Paris, France; travel to customers 20% of the time
Company
Data and AI company providing a unified platform for building and scaling data, analytics, AI applications, and agents.
What you will do
Build and productionize customer solutions spanning data engineering, AI, and application development.
Own architecture and lead design decisions for secure, scalable, production-grade systems.
Design and deliver data architectures, ingestion pipelines, custom applications, and ML/AI integrations.
Guide customers through architecture, implementation, evaluation, and adoption of data and AI solutions.
Collaborate with project managers, architects, engineering, support, product, and customer teams.
Create reusable accelerators, frameworks, and best practices that scale across customer engagements.
Requirements
6+ years of experience in data engineering, data platforms and analytics, or software engineering.
Professional coding experience with Python, Scala, JavaScript/TypeScript, and modern frameworks.
Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
Experience with CI/CD, MLOps, ML/AI models and APIs, and production end-to-end data architectures.
Experience delivering technical projects for enterprise clients, managing scope and timelines, and handling broad stakeholder groups.
Nice to have
Databricks Certification.
Strong documentation and whiteboarding skills.
Curiosity and adaptability when exploring technologies for Databricks-based solution deployment and integration.
Culture & Benefits
Customer-facing, hands-on work at the intersection of technology and business impact.
Cross-functional collaboration with engineering, product, developer relations, and customer support.
Opportunity to influence product roadmaps through customer and implementation feedback.
Comprehensive employee benefits and region-specific perks.
Inclusive culture and equal employment opportunity practices.
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