Data Engineering Manager

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

📋 Description

• Lead the creation and execution of intricate data pipelines and integration solutions essential for key client business operations.

• Take ownership of comprehensive data engineering projects from discovery and requirements gathering to POC development, production rollout, and optimization.

• Build, develop, and guide a high-achieving engineering team.

• Design and implement data ingestion frameworks on Snowflake.

• Create platform-agnostic data pipelines and schemas suitable for high-volume workloads.

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

• Lead discovery pipeline initiatives and functional POCs.

• Implement high-volume matching algorithms.

• Perform performance, load, and scalability testing to validate architectural choices.

• Enhance latency, throughput, connection reliability, and integration alternatives.

• Evaluate APIs, batch delivery systems, and governed clean-room workflows.

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

• Guide infrastructure and tool selection based on performance needs and business limitations.

• Lead API design and integration strategies facing partners.

• Architect decisions between batch versus real-time processing 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

• Over 7 years of practical data engineering experience in production settings.

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

• Advanced proficiency in SQL.

• Extensive knowledge in schema and data model design, complex joins, and performance enhancement.

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

• Experience in platform-agnostic data engineering across Snowflake, Databricks, BigQuery, Redshift, and other platforms.

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

• Familiarity with designing and implementing batch and real-time data integration workflows.

• Knowledge of governed clean-room solutions and data governance methodologies.

• Understanding of API design, microservices patterns, and event-driven architectures.

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

• Demonstrated mentoring capabilities and strong recruitment and team-building skills.

• Proficient in English at an advanced level, essential for communicating with global teams and client leadership.

🏝️ Benefits

• Daily lunches at headquarters, offering vegetarian, vegan, gluten-free, and sugar-free options.

• Gourmet meals every Friday prepared by an on-site chef.

• Flexible working arrangements.

• Provision of MacBook and accessories.

• Daily availability of snacks and beverages at headquarters.

• After-office events, including football, tennis, and game nights at headquarters.

• Participation in a football league.

• Pool games and office trophy competitions.

• Access to tennis courts.

• Chess championships, game nights, and music nights.

• Opportunities for AWS certifications, study plans, courses, and additional certifications.

• English language lessons.

• Tech Tuesdays for peer-learning opportunities.

• Mentoring and development programs.

• Gifts for anniversaries and birthdays.

• A great location and supportive teammates.