10 дней назад
Solutions Architect (Presales, Data & AI, Digital Native Business)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Solutions Architect (Presales, Data & AI): Leading technical strategy and designing scalable production-grade solutions across data engineering, ML/AI, real-time analytics, and cloud-native data platforms with an accent on architecture leadership and platform adoption. Focus on developing a technical specialisation, building custom solutions for competitive scenarios, and solving complex data platform challenges through live coding, design reviews, and production deployment.
Location: London, United Kingdom
Company
Databricks is a Data and AI company providing a unified platform for data engineering, analytics, machine learning, 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, production-grade solutions spanning data engineering, ML/AI, real-time analytics, and cloud-native data platforms.
- Advise customer architects, engineering leads, and directors on technical strategy, trade-offs, and platform adoption.
- Build custom solutions to demonstrate Databricks differentiation in competitive scenarios.
- Develop a technical specialisation and coordinate DSAs, SSAs, and partners to address complex customer needs.
- Provide structured customer and competitive feedback to influence product direction.
Requirements
- 6+ years of experience in solutions architecture, data engineering, technical presales, or a senior hands-on technical role.
- Strong Python and SQL coding skills, 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, with a developing specialisation in areas such as streaming, ML/AI, governance, or migrations.
- Experience leading architecture discussions with senior technical stakeholders and deploying solutions on AWS, Azure, or GCP, including infrastructure, security, and governance.
- 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 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 similar sectors.
Culture & Benefits
- Comprehensive benefits and perks tailored to the employee’s region.
- Inclusive culture and equal employment opportunity practices.
- 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.
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