Joblaze summary

In the role of Senior Scale Solution Engineer at Databricks, the individual is responsible for guiding customers through their entire engagement lifecycle, from pre-sales to production. This position requires expertise in the Databricks Data + AI Platform, along with proficiency in cloud services like AWS, Azure, or GCP, and programming skills in Python or SQL. Ideal candidates have over four years of technical experience, particularly in data, AI, or cloud environments, and possess strong communication and relationship-building abilities. The role is pivotal in ensuring high-quality customer experiences and enhancing AI-augmented workflows.

Joblaze insights

Listed about a month ago — first seen on Joblaze September 12, 2026. Last confirmed on Databricks's careers page November 7, 2026.

Quick facts

How much experience is required?: At least 4 years of relevant experience for this Senior Scale Solution Engineer role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Python, SQL.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Senior Scale Solution Engineer role at Databricks.

From the original posting

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At Databricks, we aim to empower our customers to solve the world's most challenging problems using the Data + AI Platform while putting trusted data and AI in the hands of every business user. As a Senior Scale Solution Engineer, you are a technical anchor for our scaled customer motion, advising customers across many stages of their lifecycle: from pre-sales evaluation through onboarding and into production. You independently take on complex engagements and build and improve AI-augmented workflows that enable the whole team to deliver high-quality guidance at scale.

The impact you will have:

You will ensure customers have an excellent experience by independently owning engagements across their lifecycle.
You will be the go-to expert on the Databricks Data + AI Platform, owning technical direction and building reusable AI-augmented workflows.
You will work directly with multiple customers concurrently and set the quality bar for the team.

What we look for:

Excellent communication and interpersonal skills, with the ability to assess customer needs, foster relationships, address objections, and effectively showcase the value of the Databricks platform.
Undergraduate degree or higher in Computer Science, Information Systems, or similar relevant experience.
4+ years of experience in a technical role, preferably in the Data, AI, or Cloud field.
Deep knowledge of at least one of the following cloud platforms, AWS, Azure, or GCP; familiarity with more than one is a plus.
Knowledge of AI-driven development with programming languages like Python or SQL, including building and extending AI-augmented workflows.
Understanding of the end-to-end data analytics and data engineering workflow, and their trade-offs.
Excellent time management and prioritization skills.
Bonus: Experience building AI tooling and automation, consulting or pre-sales, or with agentic solutions.

About Databricks

Benefits

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

Senior Scale Solution Engineer

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