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.

Function: Marketing
Experience Level: Mid-Senior Level