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GoFundMe is seeking a Manager of Data Engineering to lead a data engineering team and own delivery for a critical portfolio within the Data Platform organization. This hybrid role is based in Buenos Aires, Argentina.
You will be accountable for translating business priorities into a clear roadmap and well-managed backlog, establishing owners and deadlines, and delivering measurable outcomes predictably. Key responsibilities include:
• Partner cross-functionally with Product, Engineering, Analytics, Data Science, Privacy, and business teams to translate business needs into clear priorities and execution plans.
• Own the team's roadmap and backlog, connecting priorities to measurable business outcomes and tangible value.
• Drive delivery and accountability by setting clear owners, milestones, and deadlines; holding the team accountable for commitments; and communicating progress transparently.
• Lead, grow, and manage performance through hiring, coaching, developing, and retaining high-performing engineers via regular feedback, 1:1s, and meaningful career development.
• Proactively manage risks and dependencies, identifying and resolving delivery risks, cross-team dependencies, resource constraints, and blockers before they impact outcomes.
• Make prioritization and trade-off decisions, balancing business value, urgency, platform health, risk, and team capacity.
• Establish an effective operating rhythm with clear goals, success measures, healthy backlog management, and continuous process improvement.
• Ensure the team delivers trusted, reusable, well-governed data products supporting reporting, analytics, AI/ML, and product experiences.
• Set expectations for data quality, privacy, security, lineage, documentation, operational readiness, and sustainable support.
• Partner with Staff+ engineers and architects on technical direction, aligning decisions with business priorities and long-term platform strategy.
• Balance new delivery with reliability, scalability, cost effectiveness, and technical debt management.
• Champion responsible use of AI tools to improve planning, development, documentation, operations, and team productivity.
Required qualifications: 8–10+ years in data engineering, platform engineering, or related fields, with at least 5+ years directly managing data engineers or platform teams. You bring excellent communication and leadership skills, a track record of driving predictable delivery, and demonstrated success building strong relationships across product, engineering, analytics, data science, privacy, and business stakeholders. You have proven ability to hire, coach, develop, and retain high-performing teams, with strong judgment in prioritization, resource allocation, risk management, and trade-off decisions. Strong data engineering experience and hands-on technical leadership across data architecture, modeling, ETL/ELT, batch and streaming pipelines, orchestration, and scalable distributed systems. Proficiency with SQL, Python, Spark, Kafka, Snowflake or BigQuery, Airflow, dbt, cloud infrastructure, and CI/CD.
