Data Engineering Lead

Blend is seeking a Data Engineering Lead to build, maintain, and optimize scalable data solutions to support Journey Analytics initiatives. The ideal candidate has strong experience working with code repositories, building data pipelines in Databricks, and designing scalable data models.

Requirements

• Maintain, optimize, and automate existing code repositories in GitHub.
• Refactor legacy code to simplify maintenance, updates, and reuse across multiple use cases.
• Design and build modular, reusable code components to support multiple journeys and reduce duplication.
• Develop and manage automated data pipelines in Databricks to support Journey Analytics datasets and downstream reporting.
• Consolidate key KPIs, metrics, and attributes into standardized data structures to enable flexible journey views.
• Build and maintain scalable data models to support current and future journey analytics use cases.
• Ensure data quality, performance, and reliability across data pipelines and analytics datasets.
• Collaborate with analytics and engineering teams to improve data processes and architecture.

Benefits

• Learning Opportunities
• Mentoring and Development
• Celebrations & Support
• Flexible working options