remote
Solutions Architect - Financial Services Insurance - Databricks
Solutions Architect
Customer‑facing Solutions Architect driving adoption of the Databricks Data Intelligence Platform for insurance clients, leveraging Apache Spark, Delta Lake, MLflow and cloud services to deliver data engineering, analytics, and machine‑learning solutions.
About the role
Key Responsibilities
- Engage with insurance customers to understand business challenges and design end‑to‑end data solutions on the Databricks platform.
- Architect and implement data pipelines, lakehouse structures, and ML workflows using Apache Spark, Delta Lake, and MLflow.
- Collaborate with product and engineering teams to provide feedback, influence roadmap, and ensure solutions meet industry compliance and performance standards.
- Deliver technical workshops, proofs of concept, and hands‑on demos that showcase value and accelerate time‑to‑value.
- Mentor internal sales and technical staff on best practices for cloud‑based data engineering, analytics, and AI in the financial services domain.
Requirements
- 5+ years of experience designing and implementing data platforms on major cloud providers (AWS, Azure, or GCP).
- Deep expertise with Apache Spark, Delta Lake, and MLflow, and a strong grasp of data engineering, analytics, and machine‑learning concepts.
- Proven track record delivering solutions for insurance or broader financial services customers.
- Excellent communication and presentation skills, with the ability to translate complex technical concepts into business value.
- Bachelor’s degree in Computer Science, Engineering, or a related field; advanced degree or relevant certifications a plus.
Skills
apache sparkmlflowawsmachine learning