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Sr. Solutions Architect - FSI

databricks · Munichsenior

In short

  • ▸Arquitecto técnico experto en soluciones empresariales complejas para clientes clave en FSI.
  • ▸Diriges arquitecturas a gran escala: lakehouse, IA/ML, migraciones y sistemas en tiempo real, con influencia ejecutiva.
  • ▸Destacado por tu especialización técnica declarada y tu impacto horizontal en el equipo y región.

Full professional proficiency in English and German

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What they ask for

  • ✓8+ años en arquitectura de soluciones, ingeniería principal o liderazgo técnico en pre-venta.
  • ✓Dominio avanzado de Python, SQL y Spark/PySpark (evaluación técnica en vivo).
  • ✓Experto en arquitectura empresarial de datos: sistemas distribuidos, streaming, lakehouse, gobernanza y plataformas cloud.
  • ✓Conocimiento experto de la plataforma Databricks (o equivalente con capacidad de aprendizaje rápido).
  • ✓Especialización técnica declarada: IA/ML, arquitecturas en tiempo real, gobernanza, migraciones o soluciones por industria.
  • ✓Capacidad para influir en ejecutivos (C-level, VPs, Directors) y liderar evaluaciones competitivas complejas.

Don't tick every box? That's normal — your free dossier shows your gaps and how to cover them in the interview.

Databricks PlatformPythonSQLSparkPySparkCloud-native platformsLakehouseDistributed systemsReal-time systemsData governance frameworks

Who should you write to at databricks?

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FEQ427R349 As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organisation's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognised technical specialisation that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence. The Impact You Will Have • Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth. • Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy • Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale • Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team • Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms • Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions • Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization • Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement What We Look For • 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role • Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview • Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms • Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability) • Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions • Proven track record of driving consumption growth and platform adoption in large accounts • Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy • Experience leading competitive displacements and complex enterprise evaluations • Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued • Ability to travel on a weekly basis Nice to Have: • Full professional proficiency in English and German • Financial Service expertise with executive-level domain credibility • Databricks certifications • Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company • Published thought leadership (blogs, conference talks, open source contributions) About Databricks Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scal

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