Sr. Solutions Engineer - Public Sector; Defense Industrial

FEQ
427R313

While candidates in the listed locations are encouraged for this role, candidates in other locations will be considered.

Sr. Solution Engineers at the company lead the growth of the 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 the company, 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.

• Partner with the sales team to help customers understand how the company can help solve their business problems
• Provide technical leadership for customers to evaluate and adopt the company
• 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‑to's, and demo applications for customers
• Become an expert in, and promote the company 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

• 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
• 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)
• Secret security clearance or willingness to obtain one

The company is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non‑commissionable roles or on‑target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job‑related skills, depth of experience, relevant certifications and training, and specific work location.

Based on the factors above, the company anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above.

Local Pay Range: $152,300 — $209,450 USD

The company 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 company Data Intelligence Platform to unify and democratize data, analytics and AI. The company is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark, Delta Lake and MLflow.

To learn more, follow the company on Twitter, Linked In and Facebook.

At the company, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits…