Sr. Solutions Engineer - Public Sector (DoW - 4th Estate)
Posted by employer 4 months ago
First seen on Joblaze 4 months ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In the role of Sr. Solutions Engineer at Databricks, the individual will engage directly with customers to identify their needs and develop tailored solutions using the Databricks Unified Analytics Platform. Key skills include expertise in cloud technologies, data engineering, and programming languages such as Python or Scala, along with experience in supporting public sector clients. This position is ideal for seasoned professionals with a strong background in technical architecture and customer-facing roles, particularly those who can navigate complex data systems.
Joblaze insights
- Listed about 4 months ago — first seen on Joblaze May 12, 2026. Last confirmed on Databricks's careers page October 7, 2026.
- Salary band is below the typical range for Data Engineering roles (median ~$180,656).
- Starts above 8% of 138 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 40 companies). See Python salary trends
- Python appears in 80.1% of 216 comparable senior data engineering roles in United States; scikit-learn appears in 2.3% of 216 comparable senior data engineering roles in United States.
Quick facts
- Is the Sr. Solutions Engineer - Public Sector (DoW - 4th Estate) role remote?
- It's hybrid — Databricks expects some on-site time in Maryland; Virginia; Washington, D.C..
- What's the salary range?
- Databricks lists $152,300–$209,450 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Sr. Solutions Engineer - Public Sector (DoW - 4th Estate) role.
- Where is the role based?
- Databricks is hiring for this position in Maryland; Virginia; Washington, D.C..
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, Apache Spark, Azure, Delta Lake, GCP, Hadoop.
- 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 Engineer - Public Sector (DoW - 4th Estate) role at Databricks.
From the original posting
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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.
About Databricks
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