Solutions Architect (Financial Services)

Location: Georgia, Illinois, Massachusetts, New Jersey, New York, North Carolina, Texas, or Washington, D.C.

Salary: $180,000–$247,500 USD annual local pay range; total compensation may also include an 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, and agents.

What you will do

• Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
• Lead complex architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, streaming, and real-time analytics.
• Advise customer architects, engineering leads, and Directors on technical strategy and architecture decisions.
• Drive technical wins in competitive scenarios through custom-built solutions demonstrating Databricks differentiation.
• Develop a technical specialization in an area such as real-time and streaming, ML/AI, data governance, or migrations.
• Coordinate DSAs, SSAs, partners, and other cross-functional resources while providing structured feedback on customer requirements and competitive gaps.

Requirements

• 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong coding proficiency in Python and SQL, including live coding, debugging, and solution building.
• Deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Proficiency with the Databricks Platform or the ability to achieve proficiency rapidly, with a developing specialization in one technical area.
• Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
• Experience with production deployments on AWS, Azure, or GCP, including infrastructure, security, and governance considerations.
• Track record of driving platform adoption and consumption growth within accounts.
• Excellent communication skills for translating complex architectures into business value for technical and executive audiences.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

• Databricks certifications in Data Engineering, ML, or Platform.
• Experience with Snowflake, AWS native services, or Azure Synapse.
• Background in a data/AI company or cloud provider.
• Industry domain expertise in Financial Services, Healthcare, Retail, Media, or similar sectors.

Culture & Benefits

• Comprehensive benefits and perks, with details varying by region.
• Annual performance bonus and equity may be included in the total compensation package.
• Commitment to a diverse and inclusive workplace and equal employment opportunity standards.

Hiring process

• Recruiter screen followed by hiring manager screen.
• Design and architecture interview, live coding assessment, and Build, Demo, Pitch! presentation.
• Reference check.