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Зарплата не указанаКомандировкиСовременный стекТрендовый доменЧеткая рольТоповая компания
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Текст:
Hirify AI/Оригинал
TL;DR
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, solving complex customer challenges, and creating scalable accelerators and frameworks.
Location: Berlin or Munich, Germany; travel to customers 20% of the time.
Company
Databricks is a 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 end-to-end solutions for customer data and AI challenges.
Own architecture and lead design decisions for secure, scalable production systems.
Design and deliver reference architectures, custom applications, data ingestion, and ML/AI model integrations.
Guide enterprise customers through technical implementation, evaluation, adoption, and transformational big data projects.
Collaborate with project managers, architects, engineering, customer support, and customer stakeholders to deliver projects and resolve implementation issues.
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 architectures.
Experience delivering technical projects for enterprise clients, managing scope and timelines, documenting solutions, and handling broad stakeholder groups.
Nice to have
Databricks Certification.
Curiosity, adaptability, and eagerness to explore technologies supporting Databricks-based solutions.
Culture & Benefits
Customer-facing work at the intersection of engineering and business impact.
Cross-functional collaboration with engineering, product, developer relations, project management, and customer support.
Opportunities to engage with stakeholders ranging from technical individual contributors to executives.
Comprehensive benefits and perks tailored to the employee's region.
Commitment to an inclusive culture and equal employment opportunity.
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