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

Databricks
Hybrid - Maryland, Virginia, Washington, D.C. (other locations considered)Updated 5h ago
Total compensation
$152k–$209k
Published total compensation range
Location
Hybrid - Maryland, Virginia, Washington, D.C. (other locations considered)
Remote eligibility
Employment
Full-time
Senior
Role family
Engineering
AI / ML
Apply on databricks.com
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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, product teams, and post-sales teams to identify use cases, develop architectures, and guide customers through implementation. You will build relationships, find champions, and become a trusted advisor, reporting to the Sr. Field Engineering Manager.

Responsibilities

  • Partner with the sales team to help customers understand how Databricks solves 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.
  • Become an expert in and promote Databricks-inspired open-source projects (Apache Spark™, Delta Lake, MLflow, and Koalas) across developer communities.
  • Travel to customers in your region.

Qualifications

  • 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.
  • Built solutions with public cloud providers such as AWS, Azure, or GCP.
  • Expertise in at least one of: 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).
  • Secret security clearance or willingness to obtain one.

Compensation & Benefits

Local Pay Range: $152,300—$209,450 USD. Total compensation may include annual performance bonus, equity, and benefits. Databricks offers comprehensive benefits and perks; details vary by region.

Skills & tags

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