GCP Data Engineer with Dataplex and AI

Share resume at [Upgrade to PRO to see contact]   Role: GCP Data Engineer with Dataplex and AI Location: Irving, Texas 75039 (100% onsite)   Must have : Dataplex exp   Overview We are seeking a GCP Data Engineer with deep, hands-on architectural and development experience in Google Cloud Platform’s big data ecosystem. You will be responsible for designing, building, and optimizing a modern data lakehouse architecture. Your primary focus will be leveraging BigLake, BigQuery, Google Cloud Storage (GCS), and Vertex AI to create seamless, scalable data pipelines and machine learning integrations that drive business intelligence and predictive analytics.   Key Responsibilities Lakehouse Architecture & Development: Architect and maintain a scalable data lakehouse using Google Cloud Storage (GCS) as the foundational data lake and BigLake to unify data warehouses and data lakes. Implement fine-grained security (row-level and column-level access controls) and data governance across open file formats (Parquet, Iceberg, ORC) using BigLake. Data Warehousing & Optimization: Design and manage complex, highly scalable data models within Big Query. Perform deep performance tuning and cost optimization of Big Query jobs utilizing clustering, partitioning, materialized views, and slot capacity management.   AI/ML Integration & MLOps:  Collaborate with Data Scientists to operationalize machine learning models using Vertex AI. Build robust data pipelines to feed Vertex AI Feature Store, manage model training workflows and deploy ML models into production. Utilize Big Query ML (BQML) for in-database predictive modeling and analytics where appropriate.     Required Qualifications Experience: 5+ years of dedicated Data Engineering experience, with at least 3+ years focused exclusively on the Google Cloud Platform (GCP).   Preferred/Bonus Qualifications GCP Certifications: Google Cloud Certified - Professional Data Engineer or Professional Machine Learning Engineer. #DataEngineer #GCP #Googlecloud #Dataplex #AI #GenAI #VertexAI #AIML #ML #MLOps #Onsite #InPerson #Contract #W2 #C2C #Benchsales #Vendorlist #Urgent #role #requirement