Sr. Solutions Architect - FSI

Free resume; München; Presencial; EUR 120 000 - 170 000; Tempo integral

Resumo da oferta

Databricks, a leader in data and AI, seeks a Sr. Solutions Architect to drive consumption strategy for the most complex customer engagements in Germany.

You will own executive-level relationships and serve as the definitive technical authority for key accounts, leading multi-workload platform migrations and real-time systems at scale. You will mentor junior SAs, shape field engineering content, and develop competitive strategies across customers, with travel as needed to support enterprise

Qualificações

• 8+ years in solutions architecture or senior technical roles.
• Expert-level coding in Python and SQL; Spark/PySpark preferred.
• Deep enterprise data-architecture experience: distributed systems, real-time data, lakehouse patterns.
• Executive presence with ability to influence senior stakeholders.
• Declared specialization in real-time architectures, ML/AI platforms, or data governance.

Responsabilidades

• Drive technical and consumption strategy for top customer engagements to influence platform adoption and revenue growth.
• Own senior-level technical relationships as a trusted advisor on enterprise data/AI strategy.
• Lead the most complex architecture engagements across multi-workload platforms and migrations.
• Mentor junior SAs (L3–L5) and contribute to Field Engineering thought leadership.
• Collaborate with DSAs, SSAs, Partners, and Product teams to deliver enterprise-grade solutions.

Conhecimentos

Python

SQL

Spark/PySpark

Data architecture

Executive presence

Technical leadership

Formação académica

Bachelor's or Master's in CS/Engineering

Ferramentas

Databricks Platform

Descrição da oferta de emprego

Job Description

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 scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn , X , YouTube , and Instagram .
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.