Solutions Architect - Financial Services (Banking and Payments)
Lead the growth of Databricks Unified Analytics Platform by providing technical leadership and consulting for financial services clients.
Posted by employer 3 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 2 hours ago
Skills & Technologies
Requirements
- Experience
- 7+ years
- Education
- Bachelor's degree
Not disclosed in this posting: work arrangement, visa sponsorship.
Joblaze summary
In the role of Solutions Architect at Databricks, the individual will engage directly with clients 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 a strong background in data engineering and architecture. This position is ideal for seasoned professionals with over seven years of experience in customer-facing technical roles, particularly those familiar with the financial services sector. The team emphasizes collaboration and innovation, leveraging open-source technologies to drive customer success.
Joblaze insights
- Listed about 3 months ago — first seen on Joblaze July 28, 2026. Last confirmed on Databricks's careers page November 8, 2026.
- Salary band is in line with the typical range for Data Engineering roles (median ~$180,000).
- Starts above 30% of 115 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 35 companies). See Python salary trends
- Python appears in 74.4% of 199 comparable senior data engineering roles in United States; R appears in 2.5% of 199 comparable senior data engineering roles in United States.
Quick facts
- What's the salary range?
- Databricks lists $180,000–$247,500 for this role.
- How much experience is required?
- At least 7 years of relevant experience for this Solutions Architect - Financial Services (Banking and Payments) 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 Solutions Architect - Financial Services (Banking and Payments) role at Databricks.
From the original posting
FEQ327R400
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:
- 7+ 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
- 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)
- Experience supporting Financial Services clients is a plus
- [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.
About Databricks
BenefitsStandard company text repeated across Databricks's postings is omitted here.