Data Architect​/Engineering Investment​/Asset Management

Overview

Data Architect/Engineering role in Investment/Asset Management, based in New York City, onsite 3 days/week. Duration: 12 months. Requires 8+ years in data engineering, expertise in Snowflake, SQL, Python, and AWS. Asset management experience preferred.

New York City, NY
· Onsite (3 days/week)
· 12 Months Contract

• Lead data architecture and engineering strategy aligned with technology and business roadmaps.
• Design and implement data models, ETL/ELT pipelines, and integration frameworks.
• Partner with stakeholders to deliver scalable, high-performance data solutions.
• Optimize Snowflake pipelines for performance, scalability, and resource efficiency.
• Drive cloud and data engineering best practices across teams.
• Implement robust data quality, validation, and governance procedures.
• Collaborate with PMs, architects, and BAs on milestones and deliverables.
• Mentor onsite and offshore engineering teams.
• Maintain documentation of data flows, transformations, and architecture.
• Troubleshoot pipeline issues and performance bottlenecks.

• Bachelor’s degree in Computer Science, Information Technology, or related field.
• 8+ years of data engineering experience with a strong focus on data architecture and data modelling.
• Hands-on expertise with Snowflake, SQL, Python, and AWS (Glue, EMR).
• Strong understanding of ELT frameworks, cloud data design patterns, and data governance.
• Excellent analytical, problem-solving, and communication skills.

• Snowflake or relevant data engineering certifications.
• Experience in asset management or alternative investments.
• Familiarity with Airflow, Tableau, Power BI, or similar tools.

Freelance data hiring powered by an engaged, trusted community — not a CV database.