- San Francisco, California, United States
- On-site
- Full-time · Senior
- 12–12 years
Solution Architect, Data Platform (Databricks) to own the end-to-end design of a modern data platform on Databricks, turning business needs from Risk, Fraud, Finance, Marketing, Collections and Product into scalable, secure data architectures.
Responsibilities
- Define the enterprise data architecture on Databricks: ingestion, medallion layering, serving and ML, and how they connect to source systems, the legacy warehouse, loan servicing platforms and vendor feeds.
- Run discovery with business and technology stakeholders and turn requirements into solution designs, reference architectures and delivery roadmaps.
- Design for identity resolution, segmentation, campaign and attribution measurement, and compliant data sharing with marketing platforms and vendors.
- Design for near-real-time delinquency and contact data, agency and vendor file exchange, and compliant handling of contact preferences and regulatory restrictions.
- Decide on batch vs. streaming, build vs. buy, workspace topology, network and multi-account design, and disaster recovery.
Requirements
- Graduate in Computer Science, Data Science, or related field
- Nice to have: Banking experience
- Nice to have: Lending experience
- Nice to have: Regulated financial services experience
- Nice to have: Marketing data architecture