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).