GCP Data Engineer

Work Authorization : US Citizens Only

• Job Summary
• We are seeking a Senior GCP Data Engineer / Data Platform Consultant with strong expertise in cloud data architecture, platform modernization, enterprise data migrations, and AI-enabled analytics. The candidate will support strategic initiatives involving data warehouse migration, lakehouse modernization, Generative AI adoption, cloud governance, and platform observability.
• Key Responsibilities
• Lead and support enterprise data warehouse and cross-platform migration initiatives, including Trino-to-BigQuery migrations.
• Design and modernize data lakehouse architectures using technologies such as Apache Iceberg.
• Support Apache Iceberg migrations, lifecycle management, and metadata/catalog synchronization.
• Provide architectural guidance for Google BigQuery and enterprise data platforms.
• Support Generative AI/LLM initiatives, including AI-agent enablement, context-layer design, and structured query translation validation.
• Evaluate AI model performance, cost, and scalability, including Gemini model families.
• Support cloud infrastructure governance, asset tracking, environment decommissioning, and operational handoffs.
• Implement and monitor observability solutions using Grafana, SLOs, telemetry, and performance metrics.
• Analyze data platform performance and troubleshoot technical issues across complex environments.
• Coordinate with engineering, architecture, business, and program teams across multiple workstreams.
• Provide technical leadership, documentation, stakeholder communication, and program coordination.
• Required Skills
• Strong experience in GCP, BigQuery, and enterprise data warehousing.
• Enterprise data warehouse and cross-platform migration experience.
• Experience with Trino-to-BigQuery migration or similar data platform migrations.
• Strong knowledge of data lakehouse architecture and modernization.
• Hands-on experience with Apache Iceberg and metadata/catalog management.
• Experience supporting Generative AI/LLM and AI-agent initiatives.
• Experience with cloud governance, infrastructure decommissioning, and operational handoffs.
• Experience with Grafana and observability/monitoring platforms.
• Strong SLO monitoring, telemetry analysis, and performance troubleshooting skills.
• Excellent stakeholder management, communication, and coordination skills.
• Preferred Skills
• dbt
• Apache Spark
• Data governance and metadata management platforms
• FinOps / cloud cost optimization
• Enterprise architecture and technical program leadership
• Large-scale analytics and data transformation programs
• AI/ML platform implementation
• Ideal Candidate
• The ideal candidate is a senior data platform professional who combines strong technical expertise with architecture, program coordination, and stakeholder management skills. They should be comfortable working across engineering, architecture, and business teams while driving complex enterprise-scale data modernization and AI transformation initiatives.