Lead Data Engineer

We’re looking for a Senior Data Engineer to support the design, development, and optimization of data solutions for a high-impact enterprise initiative. This role is ideal for someone with strong hands-on experience in data processing, transformation, and validation, who thrives in building reliable and well-structured datasets for analytics and business workflows.

You will work closely with cross-functional teams to ensure data is accurate, standardized, and ready for downstream consumption, contributing to scalable and high-quality data pipelines.

What will you be doing?

• Design, develop, and maintain data pipelines to ingest, transform, and normalize data from multiple sources.
• Lead the design and implementation of data ingestion architectures in Snowflake, ensuring scalability and reliability.
• Apply best practices in data validation to ensure accuracy, consistency, and reliability across datasets.
• Perform data transformation and normalization to support analytics and reporting use cases.
• Work with large datasets using SQL and Python to process and analyze data efficiently.
• Ensure data quality by implementing validation rules, checks, and monitoring processes.
• Collaborate with business and technical stakeholders to understand data requirements and translate them into scalable solutions.
• Support ETL processes and file handling workflows for structured and semi-structured data.
• Contribute to documentation and continuous improvement of data processes and standards.

Function: Marketing
Experience Level: Mid-Senior Level