Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Architect (Data & AI): Leading customer technical strategy and designing scalable production solutions across data engineering, ML/AI, streaming, and lakehouse architectures with an accent on technical pre-sales, platform adoption, and cloud-native deployments. Focus on designing distributed data systems, solving complex architecture trade-offs, and building live-coded solutions for senior technical stakeholders.
Location: Singapore
Company
Databricks provides a unified Data and AI Platform for building and scaling data, analytics, and AI applications.
What you will do
- Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
- Lead architecture discussions and design scalable solutions spanning data engineering, ML/AI, real-time analytics, streaming, and lakehouse patterns.
- Advise customer architects, engineering leads, and senior technical stakeholders on architecture, trade-offs, and business value.
- Drive competitive technical wins through custom-built solutions and platform demonstrations.
- Develop a technical specialization and coordinate DSAs, SSAs, and partners for complex customer engagements.
- Provide structured customer feedback to influence product direction.
Requirements
- 5+ 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 production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance.
- Ability to lead whiteboarding sessions, design reviews, 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, ML, or the platform.
- 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 similar sectors.
Culture & Benefits
- Comprehensive benefits and perks vary by region.
- Inclusive workplace committed to equal employment opportunity.
- Access to a global organization with more than 30 offices.
Hiring process
- Recruiter screen and hiring manager screen.
- Design and architecture interview followed by a live coding assessment.
- Build, Demo, Pitch! presentation and 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
11 дней назад
Principal Architect - Databricks
195 000 - 250 000$
10 дней назад
Solution Architect Senior Director (Databricks)
4 дня назад
Scientific Solutions Architect (Biopharma)
140 000 - 240 000$
4 дня назад
Data Architect (AI)
97 000 - 142 000$
6 дней назад
Sr. Solutions Architect (AI)
11 дней назад
Data Engineering Architect, Senior (Databricks)
180 000 - 220 000$