Senior Forward Deployed Engineering Architect (Data & AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Forward Deployed Engineering Architect (Data & AI): Building and productionizing data and AI solutions for enterprise customers with an accent on end-to-end system design and ML/AI model integration. Focus on leading architectural decisions, implementing scalable distributed systems, and delivering measurable business outcomes through technical excellence.
Location: Hybrid – London, United Kingdom
Company
Databricks is a data and AI company providing a Data Intelligence Platform that unifies data, analytics, and AI for over 10,000 organizations worldwide.
What you will do
- Lead the delivery of production-grade systems, including reference architectures and custom data applications.
- Guide strategic customers through the design, build, and deployment of large-scale big data and AI applications.
- Own the end-to-end architecture to ensure solutions are secure, scalable, and aligned with best practices.
- Collaborate cross-functionally with Engineering, Product, and Customer Support to provide implementation feedback.
- Embed with customer teams and stakeholders to deeply understand challenges and deliver measurable impact.
- Contribute reusable assets, frameworks, and accelerators to scale impact across accounts.
Requirements
- Extensive experience in data engineering, software engineering, or data platforms.
- Proficiency in coding with Python, Scala, or JavaScript/TypeScript.
- Expertise in at least one major cloud ecosystem (AWS, Azure, or GCP).
- Deep experience with distributed computing using Apache Spark and knowledge of its runtime internals.
- Working knowledge of MLOps, AI APIs, and production-grade CI/CD pipelines.
- Proven track record of managing technical project delivery for enterprise clients.
Nice to have
- Databricks Certification.
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.
- Dynamic environment at the intersection of high-level technology and business impact.
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