Senior Manager, Data Engineering

📋 Description

• Lead the Data Engineering team, establish technical direction, and develop a long-term roadmap
• Own the architecture, reliability, performance, scalability, and ongoing evolution of Snowflake
• Lead the transition to a Medallion architecture and define standards for data ingestion
• Manage and optimize the modern data stack, including Snowflake, dbt, Fivetran, Meltano, PostgreSQL
• Partner with application engineering teams on transactional database design, schema changes, query
• Collaborate with Engineering, Analytics, Product, Finance, Risk, Marketing, and other stakeholders

🎯 Requirements

• At least 6 years of experience in Data Engineering, Data Platform Engineering, Database
• At least 2 years of experience leading or managing Data Engineers or other technical teams.
• Strong hands-on experience with Snowflake, dbt, SQL, and modern ETL/ELT architectures.
• Solid knowledge of PostgreSQL or comparable relational databases, including schema design
• Experience with data ingestion and integration tools such as Fivetran, Meltano, or equivalent
• Understanding of dimensional modeling, Medallion architecture, and modern data warehouse design

🎁 Benefits

• Flexible paid time off.
• Medical, dental, and vision insurance with generous plan options.
• 401(k) retirement plan with employer matching contributions.
• Paid family leave.
• Annual wellness subsidy.
• Work-from-home subsidy.