DATA ENGINEERING MANAGER

<p><strong>What is this position about?</strong></p><p>We're looking for a Data Engineering Manager to lead the design and delivery of complex data pipelines and integration solutions that power critical business workflows for our clients. You will own end-to-end data engineering initiatives from discovery and POC development through production deployment and optimization, while building and scaling a high-performing engineering team.</p><p>Your work will span platform-agnostic data architecture, high-volume record matching, deduplication, and near-real-time delivery systems. You will guide teams through complex data modeling decisions, performance optimization, and integration design, helping clients understand the tradeoffs between batch and real-time approaches, API-driven versus clean-room workflows, and infrastructure options.</p><p><strong>What You Will Do</strong></p><ul><li>Design and implement data ingestion architectures on Snowflake.</li><li>Lead data engineering projects end to end—from discovery and requirements through POC validation to production deployment—while building and mentoring a high-performing engineering team</li><li>Design platform-agnostic data pipelines and schemas that scale reliably at high volume, including complex data modeling for submit-grade-return workflows, identity graphs, record matching, and deduplication systems</li><li>Own discovery pipeline initiatives and functional POCs, implementing high-volume matching logic and conducting comprehensive performance, load, and scale testing to validate architectural decisions</li><li>Assess and optimize latency, throughput, connection stability, and integration options including APIs, batch delivery, and governed clean-room workflows</li><li>Define data integration strategies and communicate tradeoffs clearly to clients, guiding infrastructure and tool selection based on performance requirements and business constraints</li><li>Lead partner-facing API design and integration strategy, architecting batch versus real-time decisions and designing governed clean-room solutions for partner data exchange</li><li>Establish technical standards for schema design, SQL quality, pipeline development, and production readiness across the team through reviews, mentoring, and knowledge sharing</li></ul> <p><strong>What We Are Looking For</strong></p><ul><li>7+ years of hands-on data engineering experience, with proven expertise in building and deploying high-volume data pipelines in production</li><li>2+ years of direct team leadership or technical management experience</li><li>Advanced SQL proficiency with deep expertise in schema and data-model design, complex joins, and performance optimization</li><li>Proven track record with high-volume record matching, deduplication, and identity resolution systems</li><li>Strong experience with platform-agnostic data engineering—ability to assess and implement solutions across Snowflake, Databricks, BigQuery, Redshift, and other platforms</li><li>Demonstrated expertise in pipeline development, performance testing, latency and throughput analysis</li><li>Experience designing and implementing batch and real-time data integration workflows</li><li>Knowledge of governed clean-room solutions and data governance practices</li><li>Solid understanding of API design, microservices patterns, and event-driven architectures</li><li>A clear communicator equally comfortable with engineering teams and senior stakeholders</li><li>Strong hiring and team-building instincts with proven mentoring experience</li></ul><p><strong>What about languages?</strong></p><ul><li>English: Advanced (required for effective communication with global teams and client leadership).</li></ul><p><strong>How much experience must I have?</strong></p><p>7+ years of hands-on data engineering experience in production environments, with 2+ years of direct team leadership or technical management responsibility.</p><p>&#xa0;</p> <p><strong>Our Perks and Benefits:</strong></p><p>📚 Learning Opportunities:</p><ul><li>Certifications in AWS (we are AWS Partners), Databricks, and Snowflake.</li><li>Access to AI learning paths to stay up to date with the latest technologies.</li><li>Study plans, courses, and additional certifications tailored to your role.</li><li>Access to Udemy Business, offering thousands of courses to boost your technical and soft skills.</li><li>English lessons to support your professional communication.</li></ul><p>👨🏽‍💻 Travel opportunities to attend industry conferences and meet clients.</p><p>👩‍🏫 Mentoring and Development:</p><ul><li>Career development plans and mentorship programs to help shape your path.</li></ul><p>🎁 Celebrations &amp; Support:</p><ul><li>Special day rewards to celebrate birthdays, work anniversaries, and other personal milestones.</li><li>Company-provided equipment.</li></ul><p>⚖️ Flexible working options to help you strike the right balance.</p><p>Other benefits may vary according to your location in LATAM. For detailed information regarding the benefits applicable to your specific location, please consult with one of our recruiters.</p>