Databricks предлагает сильную senior-роль в растущей сфере данных и AI с понятной ответственностью за проекты и современными технологиями; зарплата не указана, поэтому сложно оценить компенсацию относительно рынка.
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Без зарплатной вилкиМного работы с клиентамиСовременные технологииПерспективная сфераИзвестный продукт
Оценка от Hirify AI
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Hirify AI/Оригинал
TL;DR
Sr. Forward Deployed Engineer - FDE (Fullstack) (Data & AI): Building and productionizing end-to-end data, AI, and application solutions for customers on the Databricks platform with an accent on architecture ownership, distributed computing, and production deployment. Focus on integrating data pipelines, ML/AI models, and user-facing interfaces, solving complex enterprise delivery challenges, and creating reusable frameworks that scale across customer engagements.
Location: Zürich, Switzerland; travel to customers 20% of the time
Company
Databricks is a data and AI company providing a unified platform for data engineering, analytics, machine learning, and AI applications.
What you will do
Lead customer projects delivering production-grade data, AI, and application solutions on the Databricks platform.
Own architecture and design decisions for secure, scalable end-to-end systems.
Build data ingestion pipelines, custom applications, reference architectures, and ML/AI integrations.
Embed with customer teams, guide architecture adoption, provide training, and engage stakeholders from technical contributors to executives.
Coordinate with project managers, architects, engineering, support, and customer teams to deliver projects on scope and timelines.
Develop reusable accelerators, frameworks, and best practices that influence the product roadmap.
Requirements
6+ years of experience in data engineering, data platforms and analytics, or software engineering.
Ability to code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
Experience with at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in at least one.
Deep experience with distributed computing using Apache Spark, including Spark runtime internals.
Knowledge of CI/CD, MLOps, ML/AI models, AI APIs, and production end-to-end data architectures.
Experience delivering technical projects for enterprise clients, managing stakeholders, scope, timelines, and measurable outcomes; Databricks Certification required.
Culture & Benefits
Customer-facing, hands-on work at the intersection of technology and business impact.
Cross-functional collaboration with engineering, product, developer relations, customer support, and client teams.
Opportunities to work on transformational big data and AI projects and contribute to reusable technical assets.
Comprehensive benefits and perks tailored to the employee's region.
Inclusive workplace committed to equal employment opportunity and diversity.
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