Skills
Snowflake
Data Pipelines
Data Validation
About the Role
Join our team as a Lead Data Engineer to design, build, and optimize enterprise data solutions for a high-impact initiative. You’ll help create reliable, well-structured datasets that power analytics and business workflows, with a focus on data processing, transformation, and validation.
You’ll collaborate with cross-functional partners to ensure data is accurate, standardized, and ready for downstream use—while driving scalable, high-quality data pipelines.
Responsibilities
- Design, develop, and maintain data pipelines that ingest, transform, and normalize data from multiple sources.
- Lead the architecture and implementation of data ingestion workflows in Snowflake, ensuring scalability and reliability.
- Apply data validation best practices to improve accuracy, consistency, and trust in datasets.
- Support standardization so data is clean and usable across analytics and operational systems.
Requirements
- Strong hands-on experience building and optimizing data pipelines for ingestion, transformation, and validation.
- Proficiency with Snowflake for data ingestion and pipeline architecture.
- Experience ensuring data quality through validation and consistency checks.
- Ability to collaborate effectively with cross-functional teams and translate requirements into dependable data solutions.
Benefits
- Opportunity to work on a high-impact enterprise data initiative.
- Collaborative environment with cross-functional teams.
- Role focused on building scalable, production-ready data pipelines.
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