Data Engineer

• Lead the implementation of an enterprise Snowflake data lake, ensuring timely delivery and optimal performance
• Oversee the integration of multiple data sources, including Oracle Financials, PostgreSQL, and Salesforce, into a unified data platform
• Collaborate with finance teams to facilitate a transition to a 12-month accounting calendar and support accelerated financial close processes
• Develop and maintain multi-source analytics dashboards to enhance operational insights and decision-making
• Manage day-to-day operations of the Snowflake platform, focusing on performance tuning and cost optimization
• Ensure data quality and reliability, providing business users with a trustworthy platform
• Document architectural designs, data workflows, and operational procedures to support sustainable data management
• Coordinate with external vendors to meet project deadlines and ensure successful implementations

• 5-8+ years of experience in data engineering, with a strong background in Snowflake architecture, security, and optimization
• Proficiency in cloud platforms such as AWS or Azure, including networking and storage solutions
• Expertise in data integration tools and techniques, including ETL processes and Oracle Data Integrator
• Advanced skills in data modeling and analytics tools such as Tableau
• Experience managing technical vendors and consultants to ensure project success
• Excellent communication skills, with the ability to engage effectively with non-technical stakeholders
• Proven ability to work independently and manage competing priorities in a dynamic environment

Familiarity with Python, dbt, or similar data transformation tools is preferred

• medical, vision, dental, and life and disability insurance
• eligible to enroll in our company 401(k) plan