Lead Data Engineer

About the role

Blend is seeking a Lead Data Engineer to design, develop, and maintain enterprise data solutions, ensuring data is accurate, accessible, and fit for business needs.

Key responsibilities

• Own the middle layer of the data pipeline, combining Quantum interaction data with account, device, and operational sources.
• Build and maintain ETL workflows on daily, weekly, and monthly schedules.
• Develop and manage AWS processing resources, validate outputs, and prepare reliable datasets for Tableau.
• Design and maintain application data structures that minimize compute requirements and support efficient dashboard performance.
• Investigate data discrepancies, troubleshoot pipeline issues, and adapt workflows as application features evolve.
• Collaborate with engineering lead, fellow data engineers, application developers, and data product owners.

Required profile

• 5+ years of experience in Data Engineering, Data Architecture, or a related field.
• Strong hands‑on AWS experience, including managing resources for data processing.
• Proficiency in SQL and experience with Spark.
• Experience building ETL pipelines, integrating multiple data sources, and organizing data for analytics.
• Investigative mindset and ability to work independently on ambiguous technical problems.
• Collaborative approach with ownership of assigned work.
• Advanced English (B2+).

Required skills

• AWS
• SQL
• Spark
• ETL
• Data integration
• Data architecture
• Tableau

What we offer

• Learning opportunities: AWS, Databricks, Snowflake certifications, AI learning paths, Udemy Business, English lessons.
• Travel opportunities to industry conferences and client meetings.
• Mentoring and career development programs.
• Celebrations and support: rewards for milestones, company‑provided equipment.
• Flexible working options.