Data Architect/ Engineering Investment/ Asset Management

Now Hiring: Data Architect/ Engineering Investment/ Asset Management – New York City, NY (Onsite) Location: NYC (Onsite, 5 days/week) Duration: 6–12 Months Contract Industry: Financial Services / Asset Management / Alternative Investments Pay Rate: Open (DOE) 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.