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

Bachelors or Masters 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 SnowPro certification; preference to the engineering course path.
Experience with CI/CD pipelines, DevOps 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 PowerBI.

Lead Snowflake Engineer