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Текст:
Hirify AI/Оригинал
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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