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Описание вакансии
Текст:
TL;DR
Forward Deployed Engineering - Architect (AI): Building and productionizing end-to-end data, AI, and application solutions for enterprise customers with an accent on architecture ownership, scalable system design, and customer-facing delivery. Focus on integrating data pipelines with ML/AI models and user-facing applications, solving complex distributed computing challenges, and deploying secure production systems.
Location: London, United Kingdom — hybrid; 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 application development.
What you will do
- Lead customer technical projects by designing and delivering production-grade data, AI, and application solutions.
- Own architecture and design decisions for secure, scalable end-to-end systems.
- Build reference architectures, custom applications, data ingestion pipelines, and ML/AI integrations.
- Embed with customer teams, guide architecture decisions, provide training, and support adoption of the Databricks platform.
- Collaborate with project managers, architects, engineering, product, support, and customer stakeholders to deliver measurable outcomes.
- Develop reusable accelerators, frameworks, and best practices that scale across accounts and inform the product roadmap.
Requirements
- Strong experience in data engineering, data platforms and analytics, or software engineering.
- Ability to 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 production end-to-end data architectures.
- Experience delivering technical projects for enterprise clients, managing scope and timelines, documenting solutions, and communicating with stakeholders from technical contributors to executives.
Nice to have
- Databricks Certification.
Culture & Benefits
- Customer-facing work focused on measurable business and technical outcomes.
- Collaboration with engineering, product, developer relations, and customer support teams.
- Opportunities to explore technologies that support Databricks-based solution deployment and integration.
- Comprehensive regional benefits and employee perks.
- Commitment to diversity, inclusion, and equal employment opportunity.
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