Evolve our Snowflake-based data platform into a scalable, domain-oriented architecture that supports business-critical analytics and machine learning initiatives.
Requirements
- Strong SQL and Python skills; experience with dbt or similar transformation frameworks
- Demonstrated experience building pipelines and services on Snowflake or other modern cloud data platforms
- Understanding of data quality, validation, lineage, and schema evolution
- Background in financial or market data (trading, pricing, benchmarks, ESG) is a plus
Responsibilities
- Design and build reusable platform services, including pipeline frameworks, CI/CD workflows, data validation utilities, data contracts, lineage integrations
- Develop and maintain data pipelines for sourcing, transforming, and delivering trusted datasets into Snowflake
- Partner with Data Domain Owners to onboard new sources, implement data quality checks, and model data for analytics and machine learning use cases
- Collaborate with the Lead Data Platform Engineer and Delivery Manager to deliver monthly feature releases and support bug remediation
- Document and promote best practices for data pipeline development, testing, and deployment
Other
- 3-6 years of experience in data engineering or analytics engineering
- Strong collaboration and communication skills, with a passion for enabling domain teams
- LI-Hybrid
