Joblaze summary

In the role of Sr. Solutions Architect at Databricks, the individual will engage with complex customer projects, driving technical strategies and fostering executive relationships to enhance platform adoption. Key skills include expert-level coding in Python and SQL, alongside a deep understanding of enterprise data architecture and the Databricks platform. This position is ideal for seasoned professionals with a strong background in solutions architecture and a proven ability to influence high-level stakeholders. The role also emphasizes mentorship, as the architect will guide junior team members while contributing to thought leadership in the field.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 1, 2026. Last confirmed on Databricks's careers page October 28, 2026.
This exact title is also open at 5 other locations at Databricks: San Francisco, California; Seattle, Washington, Sydney, Australia, Singapore, Auckland, New Zealand, Milan, Italy.
Python appears in 53.2% of 551 comparable senior ai/ml roles in United States; PySpark appears in 1.1% of 551 comparable senior ai/ml roles in United States.

Quick facts

How much experience is required?: At least 8 years of relevant experience for this Sr. Solutions Architect role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AI/ML, Databricks, PySpark, Python, SQL, Spark.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Sr. Solutions Architect role at Databricks.

From the original posting

FEQ327R413

As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization'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 recognized technical specialization 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.

Location: Open to remote locations, Frankfurt or Berlin.

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
Professional working proficiency in German

Nice to Have:

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

Benefits

Standard company text repeated across Databricks's postings is omitted here.

Sr. Solutions Architect

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