5 дней назад
Staff Forward Deployed Engineer (Data & AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
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TL;DR
Staff Forward Deployed Engineer (Data & AI): Building and productionizing end-to-end data and AI solutions for enterprise customers on the Databricks platform with an accent on architecture ownership, distributed computing, and production delivery. Focus on integrating data pipelines, ML/AI models, and user-facing applications, guiding customer teams, and creating reusable accelerators for scalable deployments.
Location: Berlin, Germany or Munich, Germany; travel to customers 20% of the time
Company
Databricks provides a unified Data and AI Platform used by organizations worldwide to build and scale data applications, analytics, and AI agents.
What you will do
- Build and productionize customer solutions spanning data engineering, AI, and application development.
- Own architecture and design decisions for secure, scalable, production-grade systems.
- Deliver data platforms, reference architectures, custom applications, ingestion pipelines, and ML/AI integrations.
- Work with customer stakeholders, engagement managers, project managers, architects, engineering, and support teams to deliver projects and resolve implementation issues.
- Guide customers through architecture, adoption, technical enablement, and transformational big data initiatives.
- Create reusable accelerators, frameworks, and best practices that scale across accounts and inform the product roadmap.
Requirements
- 6+ years of experience in data engineering, data platforms and analytics, or software engineering.
- Ability to write production code in Python, Scala, JavaScript/TypeScript, and modern frameworks.
- Working knowledge of at least two cloud ecosystems among AWS, Azure, and GCP, with expertise in one.
- Deep experience with distributed computing using Apache Spark and knowledge of Spark runtime internals.
- Experience with CI/CD, MLOps, ML/AI models, AI APIs, and end-to-end data architecture and application deployment.
- Experience delivering technical projects for enterprise clients, managing scope and outcomes, documenting solutions, and handling broad stakeholder relationships.
Nice to have
- Databricks Certification.
- Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solution deployment and integration.
Culture & Benefits
- Customer-facing work at the intersection of technology and business impact.
- Cross-functional collaboration with engineering, product, developer relations, and customer teams.
- Comprehensive benefits and perks, with details varying by region.
- Commitment to a diverse and inclusive workplace.
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