Solutions Architect - Digital Native Business (Fintech)

Databricks; United States; Remote; USD 140,000 - 210,000; Full time

Job summary

Databricks is seeking a Solutions Architect to own the technical strategy for customer accounts, guiding architecture discussions, enabling platform adoption, and serving as a trusted advisor to customer technical leads and architects.

You will combine deep technical expertise with strategic thinking to position Databricks as the foundation of customers’ data and AI strategy, with a focus on Fintech use cases and an emerging technical archetype within the team.

Qualifications

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong coding proficiency in Python and SQL — demonstrate live coding, debugging, and solution-building skills.
• Deep expertise in distributed data systems architecture: scalable pipelines, streaming, lakehouse patterns, cloud-native platforms.
• Proven ability to lead architecture discussions with senior technical stakeholders and production deployments on public cloud.
• Bachelor's or Master's degree in CS, Engineering, or quantitative discipline (or equivalent experience).

Responsibilities

• Own the end-to-end technical strategy for accounts from discovery to production deployment and growth.
• Lead complex architecture discussions spanning data engineering, ML/AI, and real-time analytics.
• Serve as a trusted technical advisor to customer architects and engineering leads.
• Drive technical wins by demonstrating Databricks’ differentiation through custom-built solutions.
• Develop an emerging technical specialization (archetype) and be a go-to resource for the team.
• Coordinate cross-functional resources to deliver comprehensive solutions for complex needs.
• Influence product direction by providing feedback on requirements and gaps.

Skills

Python

SQL

Distributed data systems

Cloud platforms (AWS/Azure/GCP)

Solutions architecture / pre-sales

Education

Bachelor's or Master's in Computer Science / Engineering or quantitative discipline

Tools

Databricks Platform

Job description

The Role

As a Solutions Architect, you will lead the technical strategy for your customers — owning architecture discussions, driving platform adoption, and serving as a trusted advisor to customer technical leads and architects. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy. You are developing a technical specialization (archetype) and are recognized within your team for depth in a specific domain. You understand the relevance and application of ML AI within a range of use cases important to the digital native customers in the Fintech space

The Impact You Will Have

• Own the end-to-end technical strategy for your accounts, from initial discovery through production deployment and consumption growth
• Lead complex architecture discussions — designing scalable, production-grade solutions spanning data engineering, ML/AI, and real-time analytics
• Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
• Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
• Develop and declare an emerging technical specialization (archetype) — becoming a go-to resource for your team in that domain
• Orchestrate cross-functional resources (DSAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
• Influence product direction by providing structured feedback on customer requirements and competitive gaps

What We Look For

• 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
• Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
• Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
• Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
• Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
• Experience with production deployments on public cloud (AWS, Azure, or GCP), including infrastructure, security, and governance considerations
• Track record of driving platform adoption and consumption growth within accounts
• Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

[Desired] Expertise in one of the following:

• Familiarity with healthcare data standards (HL7, FHIR, EDI/X12, ICD-10, CPT codes) and healthcare compliance frameworks.
• Experience working with or selling into pharmaceutical companie