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Manager, Data Engineering

Buenos Aires, Argentina💼 Full-time🗓 2026-09-02 → 2026-09-26

Core

Lead a data engineering team to deliver a critical portfolio within the Data Platform organization, translating business priorities into a roadmap and measurable outcomes.

Role type

Manager, Data Engineering (Hands-on IC with leadership)

Builds

Scalable data platform supporting reporting, analytics, AI/ML, and product use cases

Domain

Data Engineering / Cloud Infrastructure

Deliverable

production ML models | product features | infrastructure

Required skills

Data engineering leadership, roadmap & backlog management, risk & dependency management, hiring & team development, technical trade-off decisions, data governance & quality, distributed systems architecture, SQL, Python, Spark, Kafka, Snowflake/BigQuery, Airflow, dbt, CI/CD

Preferred skills

AI tools adoption for engineering efficiency, continuous improvement practices

Technologies

Spark, Kafka, Snowflake, BigQuery, Airflow, dbt

Responsibilities

Partner cross-functionally to translate business needs into execution plans; Own the roadmap, backlog, and measurable outcomes; Drive delivery accountability by setting owners and milestones; Lead, grow, and manage high-performing engineering teams; Manage risks, dependencies, and resource constraints; Make prioritization and trade-off decisions; Establish effective operating rhythms and metrics; Ensure quality, governance, and reliability of data products; Partner on technical direction with Staff+ engineers; Manage platform health, scalability, and cost; Champion responsible use of AI tools.

Seniority

Manager, 8–10+ years experience

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