Lead Data Engineer

• Design, develop, and maintain data models to support analytical and operational use cases.
• Write efficient, production-grade SQL to build data pipelines and transformations.
• Develop and maintain data workflows and automation scripts in Python.
• Collaborate with analysts, engineers, and stakeholders to deliver high-quality data solutions.
• (Optional but highly valued) Contribute to our infrastructure as code efforts using tools like Terraform.
• Work with modern data warehousing technologies such as Snowflake to ensure scalable and high-performing solutions.

• 5+ years of experience in data roles, ideally transitioning from Data Analyst to Data Engineer.
• Proven expertise in SQL and building complex data models.
• Strong proficiency in Python for data processing, ETL, and workflow automation.
• Experience with cloud data platforms (Snowflake experience highly desirable).
• Exposure to or experience with Terraform or similar infrastructure-as-code tools is a strong plus.
• Comfortable working in fast-paced environments and able to contribute quickly without extensive onboarding.

Nice to Have

• Experience with modern data stack tools (e.g., dbt, Airflow, etc.).
• Understanding of CI/CD pipelines and data infrastructure automation.
• Familiarity with data governance, security, and best practices in a cloud environment.