Data Engineering Manager
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Job Description
Data Engineering Manager leading scalable data pipelines, integrations, and engineering teams. Powering Blend’s AI and data-science services for clients through Snowflake and platform-agnostic architectures.
Responsibilities:
- Design and implement data ingestion architectures on Snowflake
- Lead data engineering projects from discovery and requirements through POC validation and production deployment
- Build and mentor a high-performing engineering team
- Design platform-agnostic data pipelines and schemas that scale at high volume
- 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
- Assess and optimize latency, throughput, connection stability, and integration options
- Define data integration strategies and communicate tradeoffs to clients
- Guide infrastructure and tool selection
- Lead partner-facing API design and integration strategy
- Architect batch versus real-time solutions
- Design 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
- Experience with high-volume record matching, deduplication, and identity resolution systems
- Experience across Snowflake, Databricks, BigQuery, Redshift, and other platforms
- Expertise in pipeline development, performance testing, latency, and throughput analysis
- Experience designing 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 hiring, team-building, and mentoring experience
- Advanced English required for communication with global teams and client leadership
Benefits:
- Certifications in AWS, Databricks, and Snowflake
- Access to AI learning paths
- Study plans, courses, and additional certifications tailored to the role
- Access to Udemy Business
- English lessons
- Travel opportunities to attend industry conferences and meet clients
- Career development plans and mentorship programs
- Special day rewards for birthdays, work anniversaries, and personal milestones
- Company-provided equipment
- Flexible working options
- Other benefits may vary according to location in LATAM
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