Lead Data Engineer / Data Architect Job

Now Hiring – Lead Data Engineer / Data Architect

Location: New York City, NY (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. 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 strong focus on data architecture and 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