Data engineering is at the heart of every modern AI‑driven product, and companies are racing to build scalable, cloud‑native pipelines. A Lead Data Engineer role that blends Snowflake expertise with Generative AI knowledge is a rare chance to shape the future of analytics. This opportunity in Broadway, NY offers a hybrid schedule and the chance to work on cutting‑edge Agentic AI projects.

Job Summary

We are seeking a Lead Data Engineer with deep Snowflake experience to design, implement, and optimize cloud‑native data architectures. The role involves big‑data engineering, advanced analytics, data modeling, and integrating Generative/Agentic AI solutions using Python and SQL. You will mentor junior engineers, drive best practices, and ensure high‑performance data pipelines for business‑critical insights.

Top 3 Critical Skills Table

Interview Preparation

1. Describe how you would design a Snowflake data warehouse for a high‑volume streaming data source.
   What the interviewer is looking for: Understanding of Snowflake micro‑partitions, clustering keys, data ingestion (Snowpipe), and cost‑optimization.
2. Explain the differences between Snowflake’s virtual warehouses and traditional on‑premise clusters.
   What the interviewer is looking for: Knowledge of separation of compute/storage, auto‑scaling, and concurrency handling.
3. How would you integrate a Generative AI model into an ETL pipeline using Python?
   What the interviewer is looking for: Ability to call APIs, handle token limits, manage data preprocessing, and ensure model latency fits pipeline SLAs.
4. What strategies do you use for data modeling in a cloud‑native environment to support both analytics and AI workloads?
   What the interviewer is looking for: Experience with dimensional modeling, star/snowflake schemas, and feature store concepts.
5. Discuss a time you optimized a costly Snowflake query. What steps did you take?
   What the interviewer is looking for: Practical experience with query profiling, pruning, result caching, and warehouse sizing.

Resume Optimization

• Lead Data Engineer
• Snowflake Engineer
• Big Data Engineering
• Cloud‑Native Data Architecture
• Python
• SQL
• Data Modeling
• Generative AI
• Agentic AI
• Analytics

Application Strategy

When reaching out to the recruiter, send a concise email that greets the hiring manager, attaches your updated resume, and clearly highlights your top relevant skills. Mention projects where you built Snowflake pipelines, leveraged cloud services, and integrated AI models. Explicitly map your experience to the job’s key requirements, such as Snowflake expertise, Python/SQL proficiency, and work with Generative AI.

Career Roadmap