Data Engineering Manager
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Job Description
Data Engineering Manager leading scalable data pipelines, integrations, and engineering teams at Blend, an AI and data services provider. Designing matching, deduplication, and real-time systems.
Responsibilities:
- Lead the design and delivery of complex data pipelines and integration solutions for critical client business workflows
- Own end-to-end data engineering initiatives from discovery and requirements through POC development, production deployment, and optimization
- Build, scale, and mentor a high-performing engineering team
- Design and implement data ingestion architectures on Snowflake
- Design platform-agnostic data pipelines and schemas for high-volume workloads
- Develop data models for submit-grade-return workflows, identity graphs, record matching, and deduplication systems
- Own discovery pipeline initiatives and functional POCs
- Implement high-volume matching logic
- Conduct performance, load, and scale testing to validate architectural decisions
- Optimize latency, throughput, connection stability, and integration options
- Assess APIs, batch delivery, and governed clean-room workflows
- Define data integration strategies and communicate tradeoffs to clients
- Guide infrastructure and tool selection based on performance requirements and business constraints
- Lead partner-facing API design and integration strategy
- Architect batch-versus-real-time decisions and governed clean-room solutions for partner data exchange
- Establish technical standards for schema design, SQL quality, pipeline development, and production readiness through reviews, mentoring, and knowledge sharing
Requirements:
- 7+ years of hands-on data engineering experience in production environments
- 2+ years of direct team leadership or technical management experience
- Advanced SQL proficiency
- Deep expertise in schema and data-model design, complex joins, and performance optimization
- Proven experience with high-volume record matching, deduplication, and identity resolution systems
- Experience with platform-agnostic data engineering across Snowflake, Databricks, BigQuery, Redshift, and other platforms
- Expertise in pipeline development, performance testing, latency and throughput analysis
- Experience designing and implementing batch and real-time data integration workflows
- Knowledge of governed clean-room solutions and data governance practices
- Understanding of API design, microservices patterns, and event-driven architectures
- Clear communication with engineering teams and senior stakeholders
- Proven mentoring experience and strong hiring and team-building abilities
- English at an advanced level, required for communication with global teams and client leadership
Benefits:
- Every day lunches at headquarters, including vegetarian, vegan, gluten-free, and sugar-free options
- Gourmet meals every Friday with an on-site chef
- Flexible working options
- MacBook and accessories
- Snacks and beverages available every day at headquarters
- After-office events, football, tennis, and game nights at headquarters
- Football league participation
- Pool games and office trophy competitions
- Tennis courts
- Chess championships, game nights, and music nights
- AWS certifications, study plans, courses, and other certifications
- English lessons
- Tech Tuesdays peer-learning opportunities
- Mentoring and development opportunities
- Anniversary and birthday gifts
- Great location and teammates
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