What's the salary range?

Databricks lists $180,000–$247,500 for this role.

How much experience is required?

At least 5 years of relevant experience for this Solutions Architect - Digital Native Business, Named Accounts role.

What's the tech stack?

Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Hadoop, Kafka, PyTorch.

What seniority level is this role?

Databricks targets senior candidates for this position.

Solutions Architect - Digital Native Business, Named Accounts at Databricks

Joblaze summary

In the role of Solutions Architect on the Digital Natives team at Databricks, the individual will engage with customers to design and implement advanced data architectures and solutions, leveraging the company's platform and APIs. Key skills include expertise in data engineering and data science technologies, along with proficiency in Python and SQL, as well as experience with cloud services like AWS or Azure. This position is ideal for candidates with over five years in technical architecture or consulting, particularly those who thrive in collaborative environments and have a passion for open-source projects.

Joblaze insights

Listed about 2 months ago — first seen on Joblaze August 3, 2026. Last confirmed on Databricks's careers page October 7, 2026.
Salary band is in line with the typical range for Data Engineering roles (median ~$180,656).
Starts above 36% of 168 comparable senior data engineering roles that list Python we track (median $180,656 across 51 companies). See Python salary trends
Python appears in 73.6% of 397 comparable senior data engineering roles; TensorFlow appears in 1% of 397 comparable senior data engineering roles.

Quick facts

Is the Solutions Architect - Digital Native Business, Named Accounts role remote?: Yes — Databricks lists this as a fully remote position.
What's the salary range?: Databricks lists $180,000–$247,500 for this role.
How much experience is required?: At least 5 years of relevant experience for this Solutions Architect - Digital Native Business, Named Accounts role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Azure, GCP, Hadoop, Kafka, PyTorch.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Solutions Architect - Digital Native Business, Named Accounts role at Databricks.

From the original posting

FEQ327R210

While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. #LI-REMOTE

As a Solutions Architect on the Digital Natives team, you will shape the future of the big data landscape by working with the most sophisticated data engineering and data science teams in the world.

Reporting to the Field Engineering Manager, you will collaborate with existing DNB customers, product teams, and the broader customer-facing team to develop architectures and solutions using our platform and APIs. You will guide customers through the competitive landscape, best practices, and implementation; and develop technical champions along the way.

The impact you will have:

You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems.
Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications
Collaborate with your fellow Solutions Architects, using your skills to support each other and our users
Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community.

What we look for:

5+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role
Experience building distributed data systems
Comfortable programming in, and debugging, Python and SQL
Have built solutions with public cloud providers such as AWS, Azure, or GCP
Expertise in one of the following:
- Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, pytorch, Tensorflow)
Available to travel to customers in your region
[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Nice to have: Databricks Certification

NOTE: If your experience isn’t a perfect match for the job description, but you feel like you’re a good fit for the role, apply. We want to work with smart, passionate, people who are good at their job, and, a lot of times, those people have non-linear career paths.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

Local Pay Range

$180,000—$247,500 USD

About Databricks

Benefits

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

Solutions Architect - Digital Native Business, Named Accounts

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