Seeking a Sr. Technical Lead specializing in Data Engineering to drive our ETL processes using Snowflake. This role is crucial for architecting and implementing robust data solutions.

We are looking for an experienced professional to lead initiatives in data pipeline development, Snowflake architecture, and data integration.

This position offers an exciting opportunity to work with cutting-edge technologies and shape the future of our data landscape.

Spearhead the design and development of sophisticated data pipelines.

Architect and model data within the Snowflake environment for optimal performance and scalability.

Ensure seamless data integration and implement real-time data streaming solutions.

Establish and maintain high standards for data quality and governance.

Collaborate effectively with cross-functional teams and meticulously document all processes and solutions.

Must possess strong expertise in Snowflake, including SnowSQL, Snowpark, Snowpipe, Streams, and Tasks, with a focus on performance optimization and data modeling.

Proficiency in at least one CDC tool such as Debezium, Fivetran, or Qlik Replicate is essential.

Demonstrated deep SQL expertise, including analytical functions and query tuning.

Hands-on experience with one cloud platform, specifically Azure.

Experience using Python or Scala for ELT/orchestration tasks.

Familiarity with CI/CD and orchestration tools like Airflow, Azure Data Factory, GCP Composer, or AWS Glue.