Sr. Solutions Architect - FSI
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)