Data Architect
The Data Architect / Data Platform Consultant is responsible for reviewing technology choices, validating solution designs, and providing expert architectural recommendations for the firm's next-generation Market Data & Quant Research Platform.
Key Responsibilities
Architecture & Strategic Guidance
- Review and assess technology decisions made by engineering and research teams, ensuring alignment with the target-state architecture.
- Recommend best-fit technologies (AWS S3, Parquet, Iceberg, Snowflake, Databricks, lineage tools) based on performance, scale, cost, and business needs.
- Validate architectural patterns for ingestion, historical data management, time-series storage, and firm-wide data platform expansion.
Required Skills & Experience
- 10–15+ years in data architecture, data platforms, or cloud-native data engineering within financial services or capital markets.
- Strong experience reviewing and guiding solutions based on:
- AWS S3, Glue, IAM
- Parquet, Iceberg, Delta/columnar formats
- Snowflake, Databricks, or other cloud analytics platforms
- Expertise in data lineage, metadata, governance models, and platform security.
- Proven experience advising technical teams, reviewing designs, and providing architectural recommendations.
Preferred Qualifications
- Experience in systematic trading, hedge funds, quant research, or time-series market data platforms will be a plus
- Familiarity with data vendor onboarding (Bloomberg, Refinitiv, Snowflake Marketplace).