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

Databricks
Hybrid - Maryland, McLean, VA, or Washington, D.C.Updated 43d ago
Total compensation
$219k–$301k
Published total compensation range
Location
Hybrid - Maryland, McLean, VA, or Washington, D.C.
Remote eligibility
Employment
Full-time
Senior
Role family
Engineering
AI / ML
Role skills
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About the job

About the Role

As a Sr. Solutions Engineer at Databricks, you will lead the growth of the Databricks Unified Analytics Platform. You will work with customers, teammates, the product team, and post-sales teams to identify use cases, develop architectures and solutions, and guide customers through implementation. You will build relationships, find champions, and become a trusted advisor. This role reports to the Sr. Field Engineering Manager.

Responsibilities

  • 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 customer projects, data science and machine learning projects, and validate integrations with cloud services and other 3rd party applications.
  • Build and present reference 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.

Qualifications

  • 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 (e.g., Spark, Hadoop, Kafka), Data Warehousing (e.g., SQL, OLTP/OLAP/DSS), or Data Science and Machine Learning technologies (e.g., pandas, scikit-learn, HPO).
  • Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research).

Compensation & Benefits

Local Pay Range: $219,100—$301,300 USD. The total compensation package may also include eligibility for annual performance bonus, equity, and the benefits listed above. Databricks is committed to fair and equitable compensation practices.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics, and agents. Headquartered in San Francisco with 30+ offices around the globe.

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