Solutions Architect - Public Sector
Remote - Washington D.C.
P-959
While candidates in the listed locations are encouraged for this role Washington DC, Virginia, and Maryland are the locations of focus for the team. We are considering other EST time zone locations for this position as well.
Mission
Solutions Architects at Databricks lead the growth of the Databricks 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 Databricks, 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 Field Engineering Manager for the team.
The impact you will have:
- Partner with the sales team to help customers understand how Databricks can help 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 references architectures, how-tos, and demo applications for customers
- Become an expert in, and promote Databricks inspired open-source projects (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
- Data Engineering technologies (Ex: Spark, Hadoop, Kafka)
- Data Warehousing (Ex: SQL, OLTP/OLAP/DSS)
- [Desired] Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- US Citizen
Benefits
- Comprehensive health coverage including medical, dental, and vision
- 401(k) Plan
- Equity awards
- …
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401(k) Plan Annual personal development Annual personal development fund Comprehensive health coverage Comprehensive health coverage including medical, dental, and vision EAP Employee assistance Employee Assistance Program Equity awards Family Planning Flexible time off Gym reimbursement Health coverage Medical, dental, and vision Paid parental leave Pay Range Transparency Personal development fund Work headphones reimbursement
Tasks- Build customer relationships
- Implement solutions
- Promote Databricks
- Provide technical leadership
AI Analytics Apache Spark AWS Azure Big Data Cloud Cloud platforms Consulting Customer-facing Data Data & Analytics Data and AI Databricks Data engineering Data Science Data Warehousing Delta Lake Dss Excel GCP Hadoop IT Java Kafka Leadership Machine Learning MLFlow OLAP OLTP Pre-sales Programming Python R Sales Scala Spark SQL Technical architecture Technical Leadership
Experience5 years
EducationApplied mathematics Business Computer Science Engineering Operations research Quantitative discipline
TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9