Data Engineer

• Lead the design and implementation of scalable data pipelines using Databricks and GCP (BigQuery, Cloud Storage, Cloud Composer, etc.).
• Build and optimize data transformations, ingestion layers, and processing workflows to support clean room and identity graph workloads.
• Develop identity graph structures, identity stitching processes, and privacy-preserving data integrations.
• Partner with product managers, data scientists, and senior technical leaders to understand data requirements and deliver robust engineering solutions.
• Present technical designs, project plans, and effort estimates to senior leadership with clarity and confidence.
• Ensure pipeline reliability, cost optimization, and performance tuning across GCP and Databricks environments.
• Collaborate with cross-functional teams to design and support consumer identity, audience modeling, and clean room use cases.
• Maintain clear documentation of architectures, workflows, standards, and best practices.

Senior Data Engineer, Databricks, GCP – Marketing Analytics

Ingeniero de Datos

Data Engineer

Mid Data Engineer

Mid-Level Data Engineer