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

FEQ327R128

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.

Important Eligibility Requirement: 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.

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:

U.S. citizenship is required due to contractual requirements supporting U.S. Public Sector customers.

8+ years in a customer-facing pre-sales, technical architecture, or consulting role

Experience designing and architecting distributed data systems

Comfortable programming and debugging in Python and SQL.

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)

Pay Range Transparency

Databricks 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, 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