×
Register Here to Apply for Jobs or Post Jobs. X

Sr. Solutions Engineer - Public Sector (Defense Industrial Base

Job in Washington, District of Columbia, 20022, USA
Listing for: Databricks Inc.
Full Time position
Listed on 2026-08-22
Job specializations:
  • IT/Tech
    Data Engineering, Cloud Computing: Infrastructure & Operations, AI Engineer (Applied/Software), Data Science Manager
Salary/Wage Range or Industry Benchmark: 152300 - 209450 USD Yearly USD 152300.00 209450.00 YEAR
Job Description & How to Apply Below
Position: Sr. Solutions Engineer - Public Sector (Defense Industrial Base)

Sr. Solutions Engineer - Public Sector (Defense Industrial Base)

McLean, Virginia;
Washington, D.C.

Overview

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. You will develop expertise in these areas, work with customers, teammates, the product team, and post‑sales teams to identify use cases, develop architectures, guide implementations, and deliver value.

Impact

you will have
  • Partner with the sales team to help customers understand how Databricks can 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 projects, and validate integrations with cloud services and third‑party applications
  • Build and present reference architectures, how‑to guides, and demo applications for customers
  • Become an expert in and promote Databricks‑inspired open‑source projects (Apache Spark, Delta Lake, MLflow, Koalas) 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 and debugging in at least one:
    Python, Scala, Java, SQL, or R
  • Experience supporting Public Sector clients
  • Built solutions with public cloud providers such as AWS, Azure, or GCP
  • Expertise in at least one of the following:
    • Data Engineering technologies (e.g., Spark, Hadoop, Kafka)
    • Data Warehousing (e.g., SQL, OLTP/OLAP/DSS)
    • Data Science and Machine Learning technologies (e.g., pandas, scikit‑learn, HPO)
  • Secret security clearance or willingness to obtain one
Pay Range Transparency

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.

Our Commitment to Diversity and Inclusion

We are committed to fostering a diverse and inclusive culture. We consider all candidates without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio‑economic status, veteran status, and other protected characteristics.

Compliance

If access to export‑controlled technology or source code is required for performance of job duties, it is within the Employer's discretion to apply for a U.S. government license for such positions, and the Employer may decline to proceed with an applicant on this basis alone.

#J-18808-Ljbffr
To View & Apply for jobs on this site that accept applications from your location or country, tap the button below to make a Search.
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).
 
 
 
Search for further Jobs Here:
(Try combinations for better Results! Or enter less keywords for broader Results)
Location
Increase/decrease your Search Radius (miles)
0
200
Filters
Education Level
Experience Level (years)
Posted in last:
Salary