Joblaze summary

In this role, the Sr. Solutions Architect at Databricks focuses on collaborating with customers to design and implement data solutions using the Databricks Unified Analytics Platform. Key skills include expertise in cloud services and programming languages such as Python or Scala, alongside experience in big data architecture and public sector consulting. This position is ideal for seasoned professionals with over eight years in customer-facing technical roles, particularly those familiar with distributed data systems. The role also emphasizes building strong customer relationships and promoting open-source projects within the developer community.

Joblaze insights

Listed about 3 months ago — first seen on Joblaze July 28, 2026. Last confirmed on Databricks's careers page October 28, 2026.
Salary band is above the typical range for Data Engineering roles (median ~$180,000).
Starts above 97% of 117 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 34 companies). See Python salary trends
Python appears in 73.8% of 202 comparable senior data engineering roles in United States; R appears in 2.5% of 202 comparable senior data engineering roles in United States.

Quick facts

What's the salary range?: Databricks lists $219,100–$301,300 for this role.
How much experience is required?: At least 8 years of relevant experience for this Sr. Solutions Architect - Public Sector (Defense Industrial Base) role.
What's the tech stack?: Joblaze extracted these technologies from the posting: AWS, Apache Spark, Azure, Delta Lake, GCP, Hadoop.
What seniority level is this role?: Databricks targets senior candidates for this position.
Is this full-time or contract?: Full-time for this Sr. Solutions Architect - Public Sector (Defense Industrial Base) role at Databricks.

From the original posting

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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

About Databricks

Benefits

Standard company text repeated across Databricks's postings is omitted here.

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

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