Location: Irving, TX Salary: $81.00 USD Hourly - $87.00 USD Hourly Description: Lead Data Platform Engineer, AI & Cloud (Google Cloud) Locations: Irving, TX (preferred) Charlotte, NC Phoenix, AZ Minneapolis, MN San Antonio, TX Des Moines, IA NJ CA Conversion: Yes
About the Role We are seeking a Lead Cloud Data Platform Engineer to help design, build, and operationalize a next-generation, AI-enabled data ecosystem on Google Cloud. In this role, you will shape modern data and AI capabilities supporting a large-scale Cyber Security data environment. You will contribute to the migration from on-premises systems to a hybrid Google Cloud architecture while leading innovation across data engineering, automation, and AI technologies. You will collaborate with principal engineers, product managers, and other data teams to develop robust data solutions, automation frameworks, and scalable pipelines that unlock advanced analytics across the organization. If you enjoy building modern cloud-native systems, working with large data environments, and pioneering AI-driven tooling, this role is for you.
Responsibilities:Required Qualifications: 5+ years of data engineering experience in large-scale or cloud-native environments. 3+ years hands-on with data lakehouse systems using Python, PySpark, Kafka, Airflow or Cloud Composer, Google Cloud Storage, BigQuery, DataProc. Demonstrated experience building Spark-based ingestion and processing pipelines. Recent, hands-on experience with AI/agentic tools, including LangChain, LangGraph / ADK, RAG and GraphRAG, MCP for agent-based data automation. Experience working in large, complex data environments.
Desired Qualifications: Experience using AI to automate code generation for data engineering (e.g., prompt engineering, context optimization). Strong knowledge of cloud-native data lakes, warehouses, and automated pipelines. Public cloud certifications: Google Cloud Platform Professional Data Engineer, Azure Data Engineer, AWS Data Analytics Specialty. Experience with React and Node.js for UI development (preferred but not required).
Additional Details: Role Type: Senior Data Ops Engineer / Lead Information Security Engineer (P4). Environment: Large-scale data and cloud engineering environment.
Must Haves: Large data environment experience, Strong Google Cloud background, Strong Python and Kafka experience, Strong AI tooling experience.
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