Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Forward Deployed Engineer (Fullstack): Building and productionizing data and AI solutions on the Databricks platform with an accent on architecture design, end-to-end system implementation, and customer-facing technical delivery. Focus on integrating data pipelines, ML/AI models, and user-facing interfaces to drive measurable business outcomes for strategic enterprise clients.
Location: Must be based in London, United Kingdom (Hybrid)
Company
Databricks is the data and AI company, providing a unified platform for data, analytics, and AI, founded by the creators of Apache Spark, Delta Lake, and MLflow.
What you will do
- Lead impactful customer technical projects by delivering production-grade systems and reference architectures.
- Guide strategic customers through the end-to-end design, build, and deployment of big data and AI applications.
- Own architecture and design decisions to ensure solutions are secure, scalable, and aligned with best practices.
- Embed with customer teams to understand challenges and deliver high-impact technical solutions.
- Contribute reusable assets, frameworks, and best practices to influence the product roadmap.
- Collaborate with engineering, product, and customer support teams to resolve engagement-specific issues.
Requirements
- Must be based in London, United Kingdom
- Experience in data engineering, data platforms, or fullstack software development.
- Proficiency in Python, Scala, or JavaScript/TypeScript.
- Deep experience with distributed computing using Apache Spark.
- Working knowledge of at least one major cloud ecosystem (AWS, Azure, or GCP).
- Experience with MLOps, AI models, and CI/CD for production deployments.
- Ability to travel to customer sites up to 20% of the time.
Culture & Benefits
- Comprehensive benefits and perks tailored to the region.
- Commitment to a diverse and inclusive workplace culture.
- Opportunity to work with industry-leading data and AI technologies.
- Collaborative environment working with enterprise clients and technical stakeholders.
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