Solutions Architect - Digital Native Business (Fintech)
New Jersey · Illinois · Massachusetts · New York · North Carolina · Pennsylvania · Texas · California · USD 180,000-247,500 / year · 6+ years experience · Remote · Posted Oct 7, 2026
At a glance
- Experience
- 6+ years experience
- Workplace
- Remote
- Location
- New Jersey · Illinois · Massachusetts · New York · North Carolina · Pennsylvania · Texas · California
- Salary
- USD 180,000-247,500 / year · OTE
About Databricks
- Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
About the role
- As a Solutions Architect at Databricks, you will lead the technical strategy for your customers by owning architecture discussions and driving platform adoption.
- You will serve as a trusted advisor to customer technical leads and architects, combining deep technical expertise with strategic thinking to position Databricks as the foundation of their data and AI strategy.
- You will understand the relevance and application of ML and AI within a range of use cases important to digital native customers in the fintech space.
Responsibilities
- 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.
Requirements
- 6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
- Strong coding proficiency in Python and SQL, with the ability to demonstrate live coding, debugging, and solution-building skills.
- Deep expertise in distributed data systems architecture, including 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.
- Proven ability to lead architecture discussions with senior technical stakeholders, including 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).
Preferred qualifications
- Databricks certifications (Data Engineer, ML, Platform)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse)
- Background in a data/AI company or cloud provider
- Industry domain expertise (Financial Services, Insurance, Banking, etc.)
Benefits
- Comprehensive benefits and perks that meet the needs of all employees
- Annual performance bonus eligibility
- Equity eligibility
Skills
- Python
- SQL
- Databricks
- AWS
- Azure
- GCP
- Snowflake
- Azure Synapse
