Principal, Data & AI Platform Engineer
Core
Design, build, and operate a secure, on-premise analytics and AI platform that unifies transactional data from PostgreSQL and DynamoDB into Snowflake, applying machine learning and LLMs for business-critical reports and operational efficiencies.
Role type
Principal, Data & AI Platform Engineer
Builds
Secure on-premise data pipelines, Snowflake analytics layers, private LLM inference architectures, and AI-driven automation workflows for FinTech clients.
Domain
Financial Technology (FinTech), Payments, Data Engineering, Machine Learning
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Snowflake, PostgreSQL, ETL/ELT, Python, Machine Learning, LLMs, Docker, Kubernetes, API integration, Data security
Preferred skills
Enterprise analytics platform design, AI-driven operational automation, Snowflake cost management, FinTech domain experience, Agile development
Technologies
Snowflake, PostgreSQL, DynamoDB, Python, Docker, Kubernetes, Java/Spring Boot, AWS
Responsibilities
Design and implement secure data pipelines to unify data into Snowflake; Build and optimize ELT/ELT workflows and data models; Deploy on-premise ML and LLM solutions for reporting and anomaly detection; Expose secure APIs for data access and AI inference; Enforce data security, encryption, and governance across platforms.
Seniority
Principal, hands-on IC with strategy & mentorship
