Back to SearchLead Data Engineer with GCP
Remote in Argentina, & 3 others
Data Software Engineering& 4 others
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We are seeking a Lead Data Engineer to drive a GCP-based data platform initiative. The role focuses 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 powers reporting and analytics across the organization. As a technical leader, you will guide a team of data engineers, define best practices, and act 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, including access controls, data quality, lineage, and documentation across pipelines and datasets
- Mentor and guide data engineers, conducting 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
- Establish monitoring, alerting, and troubleshooting practices to ensure data pipeline performance and reliability
- Drive technical decision-making, evaluate new tools and technologies, and champion continuous improvement
Requirements
- 5+ years of hands-on experience in data engineering
- At least 1 year of experience leading teams and owning end-to-end delivery of data platform initiatives
- Deep understanding of GCP-based data platform architecture and design patterns
- Advanced proficiency in BigQuery, including schema design, query optimization, and performance tuning at scale
- Expertise in Dataflow for building and scaling batch and/or streaming data pipelines
- Strong knowledge of Looker or equivalent BI/analytics tooling, including semantic modeling
- Expert-level SQL skills and strong command of data engineering fundamentals (ETL/ELT, data modeling, orchestration)
- Experience defining technical standards, mentoring engineers, and driving architectural decisions
- Strong communication and stakeholder management skills
- Fluent Spanish speaker with English at B2+ level for team and cross-functional collaboration
Nice to have
- Solid background in data governance practices, including access management, data cataloging, and lineage
- Understanding of compliance and regulatory considerations in data platforms