Data Architect/ Engineering Investment/ Asset Management – New York City, NY (Onsite)
Location: NYC (Onsite, 3 days/week)
Duration: 12 Months Contract
Industry: Financial Services / Asset Management / Alternative Investments
We are seeking a highly experienced Lead Data Engineer / Data Architect to drive the design, development, and implementation of an enterprise-grade data platform for a leading financial services client. This role is critical in shaping the organization’s data engineering strategy, ensuring scalability, performance, and innovation across the data ecosystem.
Key Responsibilities
• 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.
Required Qualifications
• 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.
Preferred Qualifications
• Snowflake or relevant data engineering certifications.
• Experience in asset management or alternative investments.
• Familiarity with Airflow, Tableau, Power BI, or similar tools.
