Solutions Architect - Digital Native Business (Fintech)
Databricks Mosaic · New Jersey; Remote - Illinois; Remote - Massachusetts; Remote - New York; Remote - North Carolina; Remote - Pennsylvania; Remote - Texas · Remote - California
CHECKED 14H AGO
Infrastructureremotesenior$180k–$248k
At a glance
Highlights
- Own technical strategy for fintech customers from discovery to production.
- Lead architecture for scalable data, ML/AI and real-time analytics solutions.
- Advise customer architects while shaping product direction with feedback.
What they offer
- annual performance bonus
- equity
- comprehensive benefits
Ideal candidate
A strategic, customer-obsessed architect who thrives on guiding fintech innovators and turning complex data and AI ideas into business value and production impact.
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 live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture including scalable pipelines, streaming, lakehouse patterns, and cloud-native platforms
- Proficient on the Databricks Platform with a developing technical specialization
- Proven ability to lead architecture discussions with senior technical stakeholders
- Experience with production deployments on public cloud (AWS, Azure, or GCP) including infrastructure, security, and governance
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills translating complex architectures into business value
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline or equivalent experience
- hiring process
- Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Build, Demo, Pitch! Presentation → Reference Check
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration