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Описание вакансии
Текст:
TL;DR
Sr. Solutions Architect (Databricks) (Enterprise Data and AI): Leading complex customer engagements and designing scalable data, streaming, lakehouse, and AI/ML architectures with an accent on platform adoption, executive influence, and strategic account planning. Focus on building multi-workload platforms, guiding enterprise migrations, driving competitive evaluations, and mentoring solutions architects.
Location: Remote within Germany, with Munich, Frankfurt, or Berlin listed
Company
Databricks provides a unified Data and AI Platform for enterprise data, analytics, AI applications, and agents.
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 the Databricks Platform against incumbent and emerging platforms.
- Orchestrate DSAs, SSAs, partners, and product teams to deliver enterprise solutions.
- Coach junior solutions architects and contribute to customer-facing thought leadership.
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, lakehouse architecture, data governance, and cloud-native platforms.
- Expert-level Databricks Platform knowledge or equivalent depth in competing platforms.
- Experience driving platform adoption, consumption growth, competitive displacements, and complex enterprise evaluations.
- Professional working proficiency in German; a 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 a leading data and AI company.
- Published thought leadership, conference talks, or open-source contributions.
Culture & Benefits
- Comprehensive benefits and perks tailored to the employee's region.
- Diverse and inclusive workplace with equal employment opportunity standards.
- Global organization with more than 30 offices and customers worldwide.
Hiring process
- Complete a live coding assessment and a Databricks Platform build during the interview process.
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