Sr. Solutions Engineer - Public Sector (Federal Civilian)

FEQ327R25 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 company 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. Impact you will have 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 3rd party applications Build and present references 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 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 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 is nice to have Pay Range Transparency 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. Local Pay Range: $152,300 — $209,450 USD Our Commitment to Diversity and Inclusion The company is committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at the company are considered 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. #J-18808-Ljbffr