Solutions Architect - Banking and Capital Markets (FINS)
Databricks Mosaic · New Jersey · New York City, New York · Remote - New York
Infrastructureremotesenior$180k–$248k
At a glance
Highlights
- Own end-to-end technical strategy for banking accounts from discovery to production.
- Lead architecture for scalable production solutions across data, ML/AI and analytics.
- Act as trusted advisor driving platform adoption and customer data strategy.
What they offer
- Annual performance bonus
- Equity
- Comprehensive benefits and perks
Ideal candidate
Seasoned solutions architect who loves owning customer technical strategy and translating complex architectures into business value. Strategic, collaborative advisor excited by financial services data and AI challenges and driving adoption to production.
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 and lakehouse patterns
- Proficient on the Databricks Platform with developing specialization in areas like real-time, ML/AI or governance
- Proven ability to lead architecture discussions with senior technical stakeholders
- Experience with production deployments on public cloud 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 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
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