Lead Data Engineer

We’re looking for a Lead Data Engineer with strong expertise in Snowflake-based data platforms , modern data architectures, and AWS, to lead the design and implementation of scalable ingestion and validation solutions for a leading enterprise client.

This is a client-facing leadership role , ideal for engineers who combine deep technical expertise with strong communication skills and a proactive mindset. You will play a key role in ensuring high-quality, governed, and reliable data pipelines that power critical business and analytics workflows.

What will you be doing? Lead the design and implementation of data ingestion architectures in Snowflake , ensuring scalability and reliability. Own the development of end-to-end ELT pipelines integrating multiple data sources.

Design and enforce data quality frameworks , including validation rules, testing strategies, and monitoring. Apply and drive Medallion Architecture (Bronze, Silver, Gold) best practices across data pipelines. Build and optimize data pipelines and architectures on AWS (S3, Glue, Lambda, EMR, etc.)

Develop and enhance data validation and ingestion frameworks , including UI components (Streamlit-based) when needed. Act as a technical leader , guiding best practices in data engineering, governance, and pipeline reliability.

Proactively identify risks, bottlenecks, and data quality issues , and implement mitigation strategies before they impact delivery. Contribute to data governance initiatives , including data definitions, lineage, and stewardship practices. Drive documentation and continuous improvement of data platform processes.

What are we looking for? 4+ years of experience in Data Engineering (strong senior-level or lead mindset expected). Strong hands-on experience with Snowflake (Must) . Strong experience building ELT pipelines and data ingestion solutions . Solid experience with SQL and large-scale data processing .

Strong understanding and hands-on experience with Medallion Architecture (Must) . .