Senior Engineering Manager, Data

What you'll do

• Lead the development of a scalable, self-serve data foundation to democratize company data with stronger governance.
• Drive AI-driven, data-centric initiatives to accelerate business growth and improve decision-making.
• Manage and mentor high-performing engineering teams while fostering a culture of technical excellence.
• Partner with Analytics, Product, and Data Science teams to deliver secure, high-quality data products.
• Establish operational excellence by setting clear goals for team members and ensuring high delivery standards.
• Resolve delivery obstacles and prioritize work to ensure the team maintains high velocity and impact.
• Oversee technical infrastructure including Spark, Snowflake, dbt, and various data warehouse technologies.

What we're looking for

• You must have at least 5 years of experience leading Data Engineering teams.
• You must have proven experience building scalable, AI-ready data platforms and semantic models.
• You must have experience delivering trusted data products and ensuring high data quality and governance.
• You should have experience with Growth and Marketing data platforms, including attribution, funnels, and experimentation.
• You must be able to support teams using Spark, Snowflake, Data Warehouse, Data Lake, Key-Value stores, and dbt.
• You must demonstrate the ability to partner with Product, Analytics, Data Science, and Marketing teams to deliver business outcomes.
• You must have experience driving engineering excellence through CI/CD and operational reliability.