Sr. Solutions Architect - Public Sector (Defense Industrial Base)
About the role
Mission Solutions Architects at Databricks lead the growth of the Databricks Unified Analytics Platform. They have expertise in cloud platforms, data engineering, data analytics, and data science and machine learning. As a member of the team, you will exercise and develop expertise in these 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 post-sales teams to identify use cases for Databricks, develop architectures and solutions using the platform, and guide customers through the implementation to achieve value.
You will build relationships with customers, find and build champions, and become a trusted advisor. You will report to the Field Engineering Manager for the team.
Responsibilities
- 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 reference 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
Requirements
- 8+ 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)
Qualifications
- Desired: Degree in a quantitative discipline (Computer Science, Applied Mathematics, Operations Research)
- US Citizen
Skills
- Ability to communicate complex technical concepts to non-technical stakeholders
- Strong problem-solving and analytical skills
- Excellent interpersonal and communication skills
- Ability to travel up to 40% of the time
Benefits
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 these factors, Databricks 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.
Local Pay Range: $219,100—$301,300 USD
About Databricks
Databricks 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 Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks 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 Databricks on Twitter, LinkedIn and Facebook.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.