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Sr. Solutions Architect - FSIDatabricks · Munich, Germany
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Sr. Solutions Architect - FSI

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🗓️ Posted 2026-09-02 Munich, Germany Hybrid ICT
💰 Salary Not shared 📊 Market 8,500 EUR–12,000 EUR/mo

About the Role

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.

Responsibilities

  • ● 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.

Requirements

  • ● 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.
  • ● 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.