Lead Snowflake Engineer

- Lead the design, development, and maintenance of a scalable Snowflake data solution serving our enterprise data & analytics team.
- Architect and implement data pipelines, ETL/ELT workflows, and data warehouse solutions using Snowflake and related technologies.
- Optimize Snowflake database performance, storage, and security.
- Provide guidance on Snowflake best practices.
- Collaborate with cross-functional teams of data analysts, business analysts, data scientists, and software engineers, to define and implement data solutions.
- Ensure data quality, integrity, and governance across the organization.
- Provide technical leadership and mentorship to junior and mid-level data engineers. Troubleshoot and resolve data-related issues, ensuring high availability and performance of the data

- Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
- 7+ years of experience in-depth data engineering, with at least 3+ minimum years of dedicated experience engineering solutions in a Snowflake environment.
- Tactical expertise in ANSI SQL, performance tuning, and data modeling techniques.
- Strong experience with cloud platforms (preference to Azure) and their data services.
- Proficiency in ETL/ELT development using tools such as Azure Data Factory, dbt, Matillion, Talend, or Fivetran.
- Hands-on experience with scripting languages like Python for data processing.
- Strong understanding of data governance, security, and compliance best practices.
- Snowflake Snow Pro certification; preference to the engineering course path.

- Experience with CI/CD pipelines, Dev Ops practices, and Infrastructure as Code (IaC).
- Knowledge of streaming data processing frameworks such as Apache Kafka or Spark Streaming.
- Familiarity with BI and visualization tools such as Power

BI.