Data Engineer Manager

Responsibilities

• Lead and mentor a team of data engineers, fostering best practices in coding and architecture
• Define and drive the technical strategy for Journey Analytics data platforms
• Oversee maintenance, optimization, and automation of code repositories in GitHub
• Guide the refactoring of legacy codebases to improve maintainability and scalability
• Drive the design and implementation of modular, reusable data components
• Oversee the development and management of automated data pipelines in Databricks
• Establish and enforce standards for scalable data modeling
• Ensure data quality, governance, performance, and reliability across all pipelines
• Partner with analytics, product, and engineering stakeholders to align solutions with business needs

Requirements

• 7+ years of experience in Data Engineering
• Strong experience with GitHub repositories and version control workflows
• Hands-on experience developing and maintaining data pipelines in Databricks
• Proven experience refactoring and maintaining legacy codebases
• Strong understanding of data modeling and reusable component design
• Experience building scalable data models for analytics and reporting
• Ability to work independently and take ownership of initiatives

Preferred Qualifications

• Experience using Genie (Databricks)

Benefits

• Certifications in AWS, Databricks, and Snowflake
• Access to AI learning paths and Udemy Business
• English lessons and career development plans
• Travel opportunities to industry conferences
• Flexible working options

About the Company

Blend is a premier AI services provider, committed to co-creating meaningful impact for its clients through the power of data science, AI, technology, and people.