Sr. Solutions Engineer - Public Sector (Defense Industrial Base)
Databricks · Maryland; McLean, Virginia; Washington, D.C. · Field Engineering - FE Direct Regulated · listed June 11, 2026
The shape of it
Seniority
Senior
Where
Not stated
Stated pay
$152,300 – $209,450 USD
Requirements listed
11
Length
763 words
In the posting’s own words
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.
What it asks for · 11
- U.S. citizenship is required due to contractual requirements supporting U.S. Public Sector customers.
- 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 in Python and SQL.
- 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)
What the job covers
- 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
Degree language
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
Tools and skills named
Data
- Databricks3×
- Spark3×
- Data warehouse
- Hadoop
- Pandas
Cloud & infra
- AWS
- Azure
- GCP
- Kafka
Languages
- SQL2×
- Python
Models & research
- Machine learning2×
Words the posting leans on
- customers6×
- data6×
- architecture3×
- projects3×
- applications2×
- cloud2×
- data science2×
- experience2×
- machine learning2×
- public sector2×
- spark2×
- sql2×
- supporting2×
- technical2×
- technologies2×
- u.s2×
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