Data Engineering Manager

This is a fully remote position, open to applicants in Argentina.

📋 Description

• Design and create data ingestion architectures utilizing Snowflake.

• Oversee data engineering projects from initial discovery and requirements gathering to POC validation and deployment in production.

• Build and nurture a high-performing engineering team.

• Develop platform-agnostic data pipelines and schemas capable of handling high volumes.

• Create data models for submit-grade-return workflows, identity graphs, record matching, and deduplication systems.

• Take ownership of discovery pipeline initiatives and functional POCs.

• Implement matching logic for high-volume data.

• Conduct performance, load, and scalability testing.

• Evaluate and enhance latency, throughput, connection stability, and integration options.

• Define data integration strategies and effectively communicate trade-offs to clients.

• Guide the selection of infrastructure and tools.

• Lead the design and integration strategy for partner-facing APIs.

• Architect solutions for batch processing versus real-time data.

• Design governed clean-room solutions for the exchange of partner data.

• Establish technical standards for schema design, SQL quality, pipeline development, and readiness for production through reviews, mentoring, and knowledge sharing.

⛳️ Requirements

• Over 7 years of hands-on experience in data engineering within production environments.

• At least 2 years of direct team leadership or technical management experience.

• Proficiency in advanced SQL.

• Strong expertise in schema and data model design, complex joins, and performance optimization.

• Experience with high-volume record matching, deduplication, and identity resolution systems.

• Familiarity with platforms such as Snowflake, Databricks, BigQuery, Redshift, and others.

• Expertise in pipeline development, performance testing, and analysis of latency and throughput.

• Experience in designing both 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.

• Ability to communicate clearly with engineering teams and senior stakeholders.

• Proven track record in hiring, team-building, and mentoring.

• Advanced English proficiency required for communication with global teams and client leadership.

🏝️ Benefits

• Certifications available in AWS, Databricks, and Snowflake.

• Access to AI learning paths.

• Customized study plans, courses, and additional certifications tailored to the role.

• Access to Udemy Business.

• English language lessons.

• Opportunities to travel for industry conferences and client meetings.

• Career development plans and mentorship programs.

• Special rewards for birthdays, work anniversaries, and personal milestones.

• Company-provided equipment.

• Flexible working arrangements.

• Additional benefits may vary based on location in LATAM.