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

Databricks
Hybrid - Maryland, McLean VA, or Washington, D.C.Updated 5d ago
Total compensation
$152k–$209k
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
Apply on databricks.com
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About the job

About the role

Sr. Solutions Engineers at Databricks lead the growth of the Databricks Unified Analytics Platform, with expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. This customer-facing role involves working with customers, teammates, the product team, and post-sales teams to identify use cases for Databricks, develop architectures and solutions using the platform, and guide customers through implementation. The 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 third-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 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
  • 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)

Compensation

Local Pay Range: $152,300—$209,450 USD. Total compensation may also include eligibility for annual performance bonus, equity, and benefits.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — 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, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog.

Benefits

Databricks strives to provide comprehensive benefits and perks. The total compensation package may include eligibility for annual performance bonus, equity, and the benefits listed above.

Application

Apply via the Databricks careers page. Due to contractual requirements supporting U.S. Public Sector customers, this position requires U.S. citizenship; candidates who are not U.S. citizens are not eligible for consideration.

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