Principal Data & AI Architect- 10+ yrs- Columbus, Indiana- Onsite

Job Description :

Data Engineering & ModelingData Modeling, Logical Data Modeling, Physical Data Modeling, Dimensional Data Modeling, Data Vault Modeling, Data Engineering, Enterprise Data Models, Data Pipelines, Data Governance, Data Architecture, Data Mesh, Lakehouse ArchitectureReal-Time Data ProcessingReal-Time Data Pipelines, Streaming Data Processing, Event-Driven Architecture, Apache Kafka, Google Pub/Sub, Low-Latency Data ProcessingGoogle Cloud Platform (Google Cloud Platform)Google Cloud Platform, BigQuery, Dataflow, Pub/Sub, Vertex AI, Cloud Architecture, Google Cloud Platform Professional Data Engineer, Google Cloud Platform Professional Cloud ArchitectAI, Machine Learning & MLOpsMachine Learning, AI/ML Model Deployment, ML Inferencing, MLOps, Model Monitoring, Model Governance, Model Risk Management, Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vector Databases, MLflow, KubeflowCloud & Data TechnologiesPython, SQL, API Integration, Kubernetes, Docker, CI/CD, Apache Spark, Databricks, SnowflakeBanking & Financial DomainBanking, Fraud Detection, Risk Management, AML, KYC, Regulatory Compliance, Data Compliance, Operationalizing AI/ML Models, Cross-Functional Collaboration, Data Science, Risk Analytics, Enterprise Solutions