2 дня назад
Senior Solutions Architect (Transport)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Solutions Architect (Transport) (Databricks, Data and AI): Leading complex customer architecture engagements and consumption strategies across enterprise data, real-time, lakehouse, and AI/ML platforms with an accent on executive influence, platform adoption, and technical specialisation. Focus on designing distributed systems, guiding migrations and competitive evaluations, orchestrating cross-functional teams, and mentoring solutions architects.
Location: London, United Kingdom
Company
Databricks provides a unified Data and AI Platform for building and scaling data, analytics, and AI applications.
What you will do
- Drive technical and consumption strategies for complex enterprise customer engagements.
- Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Advise senior executives on enterprise data and AI strategy and position Databricks against competing platforms.
- Coordinate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Mentor junior solutions architects and contribute to customer-facing thought leadership, workshops, and community activities.
Requirements
- 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
- Expert coding proficiency in Python and SQL; Spark or PySpark is preferred.
- Deep expertise in distributed systems, streaming and real-time architectures, lakehouse patterns, data governance, and cloud-native platforms.
- Expert-level knowledge of the Databricks Platform or equivalent expertise in competing platforms.
- Experience driving platform adoption, consumption growth, competitive displacements, and complex enterprise evaluations.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.
Nice to have
- Databricks certifications.
- Experience at Databricks, Snowflake, AWS, Google, Microsoft, or another top-tier data and AI company.
- Published thought leadership, conference talks, or open-source contributions.
- Industry expertise with executive-level domain credibility.
Culture & Benefits
- Inclusive workplace focused on equal employment opportunity and diversity.
- Comprehensive benefits and perks, with details varying by region.
- Opportunity to work with a global customer base and a broad Data and AI Platform.
Hiring process
- Recruiter screen and hiring manager screen.
- Design and architecture interview, followed by a live coding assessment.
- Build, demo, and pitch presentation, followed by a reference check.
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