Principal Data & AI Platform Engineer

Responsibilities

• Design and implement secure data pipelines to migrate and unify data from PostgreSQL, DynamoDB, and other source databases into Snowflake
• Build and optimize ELT/ETL workflows, data models, and schemas in Snowflake for analytics and AI use cases
• Own Snowflake performance tuning, cost optimization, clustering, and secure data sharing patterns
• Ensure high data quality, lineage, and reconciliation between source systems and Snowflake
• Build analytics datasets and semantic layers to support enterprise reporting, dashboards, and ad‑hoc analysis
• Enable self‑service analytics for business and operations teams using governed datasets
• Collaborate with product and business stakeholders to define KPIs, metrics, and reporting logic
• Design and deploy on‑prem ML and LLM solutions for reporting automation, anomaly detection, forecasting, and operational insights
• Implement private/self‑hosted LLM architectures with secure inference pipelines
• Develop ML pipelines for feature engineering, training, validation, and inference
• Expose secure APIs and services for data access, analytics, and AI inference
• Ensure sensitive Fin Tech data never leaves approved infrastructure or flows into public AI models

• 8+ years of experience in software engineering, data platforms, or analytics engineering
• Strong expertise in SQL, with hands‑on experience in Snowflake and PostgreSQL
• Proven experience building and operating secure ETL/ELT data pipelines and analytics platforms at enterprise scale
• Hands‑on experience with machine learning and analytics‑driven AI use cases
• Experience working with LLMs in private or on‑prem environments
• Proficiency in Python for data processing, analytics, and ML workflows
• Experience integrating analytics and AI capabilities into enterprise applications via APIs and services
• Familiarity with microservices and REST APIs
• Experience deploying workloads in on‑prem, private cloud, or hybrid environments
• Strong understanding of data security, encryption, access controls, and operating in regulated environments
• Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent practical experience)

• Bachelor’s degree in Computer Science
• Bachelor’s degree in Engineering