Databricks logo

Sr. Solutions Engineer - Public Sector (DoW - 4th Estate)

Databricks

New York City, USonsite$152k-$209k/yrPosted May 11, 2026

At a glance

Highlights

  • Customer-facing technical role
  • Travel to customers
  • Collaborate with sales and product teams

Heads up

  • Secret security clearance required

Why this role might suit you

The position provides hands‑on experience with leading open‑source data platforms, collaboration across sales and product groups, and the chance to shape public sector solutions using Databricks' Unified Analytics Platform.

Skills

apache-sparkmlflowdelta-lakekoalaspythonscalajavasqlrkafkahadooppandasscikit-learnhpoawsazuregcpcloud-platformsdistributed-data-systemsdata-warehousing

About the role

FEQ327R1

While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.

Sr. Solution Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform. As a team, we have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of our team, you will exercise and develop expertise in those areas, using open-source projects such as Apache Spark™, MLflow, and Delta Lake. This is a customer-facing role, where you will work with customers, your teammates, the product team, and our post-sales teams, to identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through the implementation, to accomplish value. In that process, you will build relationships with our customers, find and build champions, and become a trusted advisor. You will report to the Sr. Field Engineering Manager for the team.

The impact you will have:

Partner with the sales team to help customers understand how Databricks can help solve their business problems

Provide technical leadership for customers to evaluate and adopt Databricks

Consult on big data architecture, implement proof of concepts for strategic customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications

Build and present references architectures, how-tos, and demo applications for customers

Become an expert in, and promote Databricks inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities through meetups, conferences, and webinars

Travel to customers in your region

What we look for:

5+ years in a customer-facing pre-sales, technical architecture, or consulting role

Experience designing and architecting distributed data systems

Comfortable programming in, and debugging, at least one of: Python, Scala, Java, SQL, or R

Experience supporting Public Sector clients

Have built solutions with public cloud providers such as AWS, Azure, or GCP

Expertise in at least one of the following:

Data Engineering technologies (Ex: Spark, Hadoop, Kafka)

Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)

Data Science and Machine Learning technologies (Ex: pandas, scikit-learn, HPO)

[Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)

Secret security clearance or willingness to obtain one

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

$152,300—$209,450 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.

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

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.

Compensation

This Solutions Engineer role pays $152k-$209k/yr. Within typical range for solutions engineer roles in United States.

Questions about this role

  • How do I apply to this Sr. Solutions Engineer - Public Sector (DoW - 4th Estate) role at Databricks?

    Click "Apply with AI Applyd" above. We auto-fill the application from your resume and answer screening questions in seconds. No copy and paste, no juggling tabs.

  • What's the typical salary for Solutions Engineer in United States?

    Compensation for Solutions Engineer roles in United States varies widely by seniority, employer size, and remote vs onsite arrangement. Check the salary range on this listing when published, or browse our Solutions Engineer hub for United States medians across recent openings.

  • How fast does AI Applyd auto-apply?

    Most applications complete in under 90 seconds. You can track the status in your dashboard and watch the screenshot proof land the moment the application submits.

  • What ATS does Databricks use?

    AI Applyd supports Greenhouse, Lever, Ashby, Workday, iCIMS, SmartRecruiters, LinkedIn Easy Apply, and most other ATS platforms. If we can submit through the platform, we do.

Want AI Applyd to auto-apply to roles like this?

We tailor your resume per posting, fill the forms, and track replies for you.