14 часов назад
Manager, Data Engineering
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Manager, Data Engineering (Data Platform): Leading a data engineering team and delivering trusted, reusable data products for reporting, analytics, AI/ML, and product experiences with an accent on roadmap ownership, platform reliability, governance, and scalable data architecture. Focus on building high-performing teams, managing delivery risks and trade-offs, and guiding pipelines and distributed systems using SQL, Python, Spark, Kafka, Snowflake or BigQuery, Airflow, and dbt.
Location: Hybrid; candidates must be located in Buenos Aires, Argentina
Company
is a community fundraising platform that helps individuals and nonprofits raise support for personal and social causes.
What you will do
- Lead a data engineering team within the Data Platform organization and translate business priorities into roadmaps, backlogs, and measurable outcomes.
- Partner with Product, Engineering, Analytics, Data Science, Privacy, and business stakeholders to align priorities and execution plans.
- Set ownership, milestones, deadlines, operating rhythms, and delivery metrics while managing risks, dependencies, resources, and trade-offs.
- Hire, coach, develop, and manage the performance of data and platform engineers.
- Deliver trusted, reusable, governed data products supporting reporting, analytics, AI/ML, and product experiences.
- Partner with Staff+ engineers and architects on technical direction, platform health, reliability, scalability, cost management, and responsible AI tool adoption.
Requirements
- 8–10+ years of experience in data engineering, platform engineering, or related fields, including 5+ years managing data engineers or platform teams.
- Strong leadership, communication, stakeholder management, prioritization, resource allocation, risk management, and conflict-resolution skills.
- Hands-on technical leadership across data architecture, modeling, ETL/ELT, batch and streaming pipelines, orchestration, and scalable distributed systems.
- Experience guiding design and delivery with SQL, Python, Spark, Kafka, Snowflake or BigQuery, Airflow, dbt, cloud infrastructure, and CI/CD.
- Working knowledge of data governance, quality, privacy, security, lineage, compliance, reliability, and cost management.
- Experience using goals, delivery and operational metrics, continuous-improvement practices, and responsible AI tools in engineering teams.
Culture & Benefits
- Mission-driven work supporting a community that helps people and nonprofits raise funds.
- Competitive pay and comprehensive healthcare benefits.
- Financial assistance for hybrid work and family planning, generous parental leave, flexible time-off policies, and mental health and wellness resources.
- Learning, development, recognition, volunteering, and Gives Back programs.
- Diversity, equity, and inclusion initiatives and employee resource groups.
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