Lead Data Engineer

📋 Description

• Architect and optimize large-scale data platforms on Google Cloud, with BigQuery as the analytical
• Design and build unified batch and streaming pipelines for high-volume workloads
• Lead infrastructure-as-code practices for repeatable, secure, version-controlled environments
• Implement open table formats to enable cross-cloud/inter-engine interoperability
• Establish automated data quality, metadata, and lineage across the data estate
• Partner with data scientists, analysts, and product teams to translate business needs into reliable

🎯 Requirements

• 7+ years in data engineering, with at least 2 years in a lead or senior IC capacity on Google Cloud
• BigQuery (Advanced): deep knowledge of architecture, partitioning, clustering, slot management
• Streaming & Batch Pipelines: hands-on with Dataflow (Apache Beam), Dataproc, and Pub/Sub
• Infrastructure as Code: production experience with Terraform
• Open Table Formats: working knowledge of Apache Iceberg for cross-cloud interoperability
• Data Governance: experience with Dataplex and Data Catalog for automated quality checks, metadata

🎁 Benefits

• Compensation & Benefits: comprehensive health insurance, PTO, holidays, sick leave, parental
• Benefits details at https://egen.ai/people/#benefits