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Описание вакансии
Текст:
TL;DR
Sr. Solutions Architect - Automotive (Databricks/Data and AI): Leading complex customer architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale with an accent on enterprise data architecture, platform adoption, and executive-level technical strategy. Focus on designing distributed lakehouse solutions, driving competitive displacements, coordinating cross-functional delivery teams, and connecting architecture decisions to business outcomes.
Location: Munich, Germany; ability to travel weekly required.
Company
Databricks provides a unified Data and AI Platform for building and scaling data, AI, analytics, and agent applications.
What you will do
- Drive technical and consumption strategies for complex enterprise customer engagements.
- Own senior technical relationships and advise executives on data and AI strategy.
- Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
- Develop competitive strategies and position Databricks against incumbent and emerging platforms.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
- Mentor junior solutions architects and contribute customer-facing thought leadership through content, workshops, and community engagement.
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/PySpark experience is preferred.
- Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
- Expert Databricks Platform knowledge or equivalent expertise with demonstrated ability to learn competing platforms rapidly.
- Experience driving platform adoption and consumption growth, leading competitive displacements, and managing complex enterprise evaluations.
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience; a live coding assessment and platform build are part of the interview.
Nice to have
- Full professional proficiency in English and German.
- Automotive industry expertise with executive-level domain credibility.
- Databricks certifications or experience at Databricks, Snowflake, AWS, Google, Microsoft, or another top-tier data and AI company.
- Published thought leadership, conference talks, or open-source contributions.
Culture & Benefits
- Comprehensive regional benefits and employee perks.
- Inclusive culture supporting equal employment opportunity and diverse perspectives.
- Opportunity to influence Field Engineering through customer-facing content, workshops, and community engagement.
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