Data Engineer Manager - AWS Databricks

📋 Description

• Lead, mentor, and support a team of data engineers while remaining hands-on.
• Define technical strategy for Journey Analytics data platforms.
• Design, build, and maintain scalable data pipelines using Databricks.
• Develop modular data components for multiple journeys.
• Design and evolve scalable analytics data models.
• Manage GitHub repos, standards, and workflows.

🎯 Requirements

• 7+ years in data engineering with scalable data solutions.
• Experience leading/mentoring data teams with hands-on work.
• Hands-on data pipelines in Databricks.
• Strong GitHub, version control, and collaborative practices.
• Proven refactoring of legacy code for scalability.
• Data modeling for analytics and reporting.

🎁 Benefits

• Opportunity to lead a data engineering team while staying hands-on.
• Exposure to large-scale Journey Analytics challenges.
• Influence data architecture, standards, and technical strategy.
• Hands-on work with Databricks, automated pipelines, scalable models.
• Collaborative environment with analytics, product, and engineering stakeholders.
• Opportunities for continuous technical learning and development.