Sr. Solutions Architect - Financial Services (Fintech / Data Providers)

Location: Georgia, Massachusetts, New York, North Carolina, or Washington, D.C.; exceptionally well-qualified candidates in other East Coast locations may also be considered.

Salary: $219,100–$301,300 USD annually, with potential annual performance bonus, equity, and benefits.

Company

Databricks is a data and AI company providing a unified platform for data engineering, analytics, machine learning, applications, agents, and governance.

What you will do

• Drive technical and consumption strategies for complex customer engagements, influencing platform adoption and revenue growth.
• Own senior-level technical relationships and advise enterprise customers on data and AI strategy.
• Lead architecture engagements involving multi-workload platforms, enterprise migrations, real-time systems, and AI/ML at scale.
• Develop competitive strategies and position Databricks against incumbent and emerging platforms.
• Coordinate DSAs, SSAs, partners, and product teams to deliver enterprise-grade solutions.
• Coach junior solution architects and contribute to customer-facing thought leadership, workshops, and community engagement.

Requirements

• 8+ years of experience in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role.
• Expert coding proficiency in Python and SQL; Spark or PySpark experience is preferred for the role.
• Deep expertise in distributed systems, streaming and real-time architectures, lakehouse design, data governance, and cloud-native platforms.
• Expert knowledge of the Databricks Platform or equivalent depth in competing platforms with demonstrated ability to learn quickly.
• Recognized specialization in areas such as real-time architectures, ML/AI platforms, data governance, large-scale migrations, or industry-specific solutions.
• Bachelor’s or master’s degree in computer science, engineering, or a quantitative discipline, or equivalent experience; executive communication and enterprise evaluation experience are required.

Nice to have

• Databricks certifications.
• Experience at Databricks, Snowflake, AWS, Google, Microsoft, or a leading data and AI company.
• Published thought leadership, conference talks, or open-source contributions.
• Industry expertise with executive-level domain credibility.

Culture & Benefits

• Comprehensive benefits and region-specific employee perks.
• Potential annual performance bonus and equity eligibility.
• Inclusive hiring practices and a commitment to diversity and equal employment opportunity.

Hiring process

• Recruiter screen followed by a hiring manager screen.
• Design and architecture interview, live coding assessment, and build, demo, and pitch presentation.
• Reference check.