Sr. Solutions Architect - FSI

Databricks · Munich, Germany · Field Engineering - Other · listed August 28, 2026

The shape of it

Seniority
Principal
Where
Not stated
Requirements listed
11
Length
673 words

In the posting’s own words

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.

What it asks for · 11

  • 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

Also a plus

  • 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)

What the job covers

  • 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

Degree language

  • Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued

Tools and skills named

Data
  • Databricks5×
  • Spark2×
  • Data warehouse
  • Snowflake
Models & research
  • Machine learning2×
  • Evaluations
Cloud & infra
  • AWS
  • Distributed systems
Go to market
  • Solutions architecture2×
Languages
  • Python
  • SQL
Ways of working
  • Cross-functional
  • Mentorship

Words the posting leans on

  • technical11×
  • platform10×
  • architecture5×
  • data5×
  • engagements5×
  • complex4×
  • customer4×
  • solutions4×
  • strategy4×
  • accounts3×
  • declared3×
  • depth3×
  • engineering3×
  • experience3×
  • expert-level3×
  • expertise3×

Counted from the posting after the mission statement and the legal notices are set aside. The ones near the top are the ones a screener is looking for.

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How this page was made

An automated read of a public job posting, fetched August 30, 2026 and last changed by Databricks on August 28, 2026. Every list above is pulled from the posting’s own sentences — nothing rewritten, nothing added, no judgment about the role or the company. Counts and seniority are read off the text by rule, so they can be wrong where the posting is unusual. The original is the only thing that binds. Openings close without warning; check the source before spending an evening on it.