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Нужны командировкиЗарплата не указанаПередовой стекТрендовый доменЭлитный ростПрозрачные задачи
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Текст:
Hirify AI/Оригинал
TL;DR
Senior Architect (AI): Building and productionizing data and AI solutions for customers using the Databricks platform with an accent on end-to-end system design and architecture. Focus on implementing scalable data pipelines, ML/AI model integration, and delivering measurable business outcomes.
Location: London, United Kingdom. Travel to customers 20% of the time is required.
Company
Databricks is the data and AI company providing a Data Intelligence Platform to unify and democratize data, analytics, and AI for over 10,000 organizations worldwide.
What you will do
Lead the design and delivery of production-grade systems, reference architectures, and custom applications.
Guide strategic customers in implementing transformational big data projects and AI applications.
Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with best practices.
Collaborate with Engineering, Product, and Customer Support to provide feedback and guide product roadmap.
Embed with customer teams to deeply understand technical challenges and deliver measurable impact.
Develop reusable accelerators, frameworks, and best practices to scale impact across multiple accounts.
Requirements
6+ years experience in data engineering, data platforms, analytics, or software engineering.
Proficiency in Python, Scala, JavaScript/TypeScript and modern frameworks.
Expertise in at least one major cloud ecosystem (AWS, Azure, or GCP).
Deep experience with Apache Spark and knowledge of Spark runtime internals.
Working knowledge of MLOps, ML/AI models, AI APIs, and CI/CD for production deployments.
Proven experience with technical project delivery and managing enterprise clients.
Culture & Benefits
Comprehensive benefits and perks tailored to the local region.
Inclusive culture committed to diversity and equal employment opportunity.
Opportunity to work with the original creators of Lakehouse, Apache Spark, Delta Lake, and MLflow.
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