Back to SearchLead Data Engineer with GCP
Remote in Argentina, & 3 others
Data Software Engineering& 4 others
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We are looking for a Lead Data Engineer to spearhead a GCP-based data platform initiative. This role centers on leading the design, development, and evolution of data pipelines and analytics infrastructure on Google Cloud Platform, shaping a scalable and reliable data ecosystem that fuels reporting and analytics across the organization. As a technical leader, you will steer a team of data engineers, set best practices, and serve as the key technical authority on the platform.
Responsibilities
- Lead the architecture, design, and implementation of data pipelines using Dataflow on GCP
- Define standards and drive the development and optimization of data models and queries in BigQuery
- Oversee the design and support of reporting and analytics layers using Looker (or similar BI tooling)
- Own the technical direction and evolution of the broader GCP Data Platform
- Establish and enforce data governance best practices, covering access controls, data quality, lineage, and documentation across pipelines and datasets
- Mentor and guide data engineers, performing code reviews and fostering technical growth within the team
- Partner with cross-functional stakeholders and leadership to translate business and data requirements into scalable technical solutions and long-term roadmaps
- Set up monitoring, alerting, and troubleshooting practices to safeguard data pipeline performance and reliability
- Drive technical decision-making, assess new tools and technologies, and champion continuous improvement
Requirements
- 5+ years of hands-on experience in data engineering
- 1+ years of experience leading teams and owning end-to-end delivery of data platform initiatives
- Understanding of GCP-based data platform architecture and design patterns
- Advanced proficiency in BigQuery, covering schema design, query optimization, and performance tuning at scale
- Expertise in Dataflow for building and scaling batch and/or streaming data pipelines
- Knowledge of Looker or equivalent BI/analytics tooling, including semantic modeling
- Expert-level skills in SQL and strong command of data engineering fundamentals (ETL/ELT, data modeling, orchestration)
- Background in defining technical standards, mentoring engineers, and driving architectural decisions
- Strong communication and stakeholder management skills
- Fluency in Spanish with English at B2+ level for team and cross-functional collaboration
Nice to have
- Solid competency in data governance practices, including access management, data cataloging, and lineage
- Familiarity with compliance and regulatory considerations in data platforms