Sr. Solutions Architect - Financial Services (Asset and Wealth Management)
Join Databricks as a Solutions Architect to lead the implementation of data solutions in the financial services sector.
Posted by employer 3 months ago
First seen on Joblaze 3 months ago
Last verified on the company career page 24 minutes ago
Skills & Technologies
Requirements
- Experience
- 7+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In this role, the Solutions Architect focuses on collaborating with clients to implement the Databricks Data Intelligence Platform, addressing their specific business challenges through tailored data solutions. Key skills include expertise in big data technologies, cloud services, and programming languages like Python and SQL, alongside a strong background in data architecture. This position is ideal for seasoned professionals with over seven years of experience in customer-facing roles, particularly those with a background in financial services or consulting. The team 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 June 26, 2026. Last confirmed on Databricks's careers page October 8, 2026.
- Salary band is in line with the typical range for Data Engineering roles (median ~$180,656).
- Starts above 30% of 138 comparable senior data engineering roles in United States that list Python we track (median $180,656 across 40 companies). See Python salary trends
- Python appears in 80.1% of 216 comparable senior data engineering roles in United States; MLflow appears in 5.1% of 216 comparable senior data engineering roles in United States.
Quick facts
- Is the Sr. Solutions Architect - Financial Services (Asset and Wealth Management) role remote?
- It's hybrid — Databricks expects some on-site time in Chicago, Illinois; Massachusetts; New Jersey; New York.
- 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 Sr. Solutions Architect - Financial Services (Asset and Wealth Management) role.
- Where is the role based?
- Databricks is hiring for this position in Chicago, Illinois; Massachusetts; New Jersey; New York.
- 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 - Financial Services (Asset and Wealth Management) role at Databricks.
From the original posting
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As a Sr. Solutions Architect, you are an expert-level technical leader responsible for the organization's most complex customer engagements. You drive consumption strategy, own executive-level relationships, and serve as the definitive technical authority for your accounts. You have declared your archetype—a recognized technical specialization that makes you a force multiplier across your team and region. You operate at the intersection of deep technical expertise, strategic account planning, and executive influence.
The Impact You Will Have
- Drive the technical and consumption strategy for the organization's most complex customer engagements, directly influencing platform adoption and revenue growth.
- Own senior-level technical relationships — serving as a trusted advisor on enterprise data and AI strategy
- Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale
- Operate as an Expert on the Databricks Platform with a declared archetype — actively mentoring others and driving horizontal impact across your team
- Develop and execute competitive strategies for your customers, positioning Databricks against incumbent and emerging platforms
- Orchestrate cross-functional teams (DSAs, SSAs, Partners, Product) to deliver enterprise-grade solutions
- Coach and develop junior SAs (L3–L5) on technical depth, customer engagement, and use case prioritization
- Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement
What We Look For
- 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
- Expert-level coding proficiency — Python, SQL, and ideally Spark/PySpark. You will complete a live coding assessment and a platform build during the interview
- Deep expertise in enterprise data architecture: distributed systems at scale, streaming/real-time, lakehouse design patterns, data governance frameworks, and cloud-native platforms
- Expert-level Databricks Platform knowledge (or equivalent depth in competing platforms with demonstrated rapid learning ability)
- Declared technical specialization with recognized depth — e.g., real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions
- Proven track record of driving consumption growth and platform adoption in large accounts
- Executive presence — ability to influence Directors, VPs, and C-level stakeholders on long-term data and AI strategy
- Experience leading competitive displacements and complex enterprise evaluations
- Strong strategic thinking — connecting technical architecture decisions to business outcomes and revenue impact
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience); advanced degrees are valued
Nice to Have:
- Databricks certifications
- Prior experience at Databricks, Snowflake, AWS, Google, Microsoft, or a top-tier data/AI company
- Published thought leadership (blogs, conference talks, open source contributions)
- Industry vertical expertise with executive-level domain credibility
Interview Process: Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
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.