Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Architect (Digital Native Business) (Data/AI): Leading customer technical strategy and designing production-grade solutions across data engineering, machine learning, real-time analytics, and cloud-native platforms with an accent on scalable architectures, platform adoption, and technical specialization. Focus on guiding complex architecture discussions, building custom competitive solutions, orchestrating cross-functional resources, and demonstrating live coding and solution-building skills.
Location: London, United Kingdom
Company
Databricks is a Data and AI company providing a unified platform for data engineering, machine learning, analytics, and AI applications to organizations worldwide.
What you will do
- Own the end-to-end technical strategy for customer accounts, from discovery through production deployment and consumption growth.
- Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, and real-time analytics.
- Advise customer architects, engineering leads, and directors on technical strategy and platform adoption.
- Demonstrate Databricks differentiation through custom-built solutions in competitive scenarios.
- Develop a technical specialization in an area such as streaming, ML/AI, data governance, or migrations.
- Coordinate DSAs, SSAs, and partners while providing structured feedback on customer requirements and product gaps.
Requirements
- 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
- Deep expertise in distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Experience with Databricks or the ability to become proficient rapidly, plus production deployments on AWS, Azure, or GCP.
- Experience leading architecture discussions, design reviews, whiteboarding, and trade-off analysis with senior technical stakeholders.
- Bachelor’s or master’s degree in computer science, engineering, or a quantitative discipline, or equivalent experience.
Nice to have
- Databricks certifications in data engineering, machine learning, or platform technologies.
- Experience with Snowflake, AWS native services, or Azure Synapse.
- Background in a data/AI company or cloud provider.
- Industry expertise in financial services, healthcare, retail, media, or another relevant sector.
Culture & Benefits
- Comprehensive benefits and perks tailored to the employee’s region.
- Inclusive hiring practices and a diverse workplace.
- Access to a global organization with more than 30 offices and customers worldwide.
Hiring process
- Recruiter screen followed by a hiring manager screen.
- Design and architecture interview, live coding assessment, and Build, Demo, Pitch presentation.
- Reference check.
Будьте осторожны: если работодатель просит войти в их систему, используя iCloud/Google, прислать код/пароль, запустить код/ПО, не делайте этого - это мошенники. Обязательно жмите "Пожаловаться" или пишите в поддержку. Подробнее в гайде →
Похожие вакансии
8 дней назад
Principal Data Architect (Databricks & AI)
4 дня назад
Lead Architect, Databricks
150 000$
4 дня назад
Senior Data Architect (Pre-sales & Solutions)
8 дней назад
Azure Databricks Architect (Azure Databricks)
8 дней назад
AI Solutions Architect - Business Intelligence
125 000 - 165 000$
9 дней назад