Principal Data for AI Architect 10265

Join Bynet’s AI Business Unit – a dedicated business unit leading Full Stack Enterprise AI projects for Israel’s largest organizations. We are looking for a Principal Data for AI Architect to lead the Data for AI domain at the core of our activities – from assessing data readiness, through designing data platform architectures and Data Governance processes, to building data infrastructures that enable enterprise-scale AI solutions. What will your day look like? • Lead Data for AI architecture for Enterprise customers. • Design AI-ready Data Architectures for RAG, Enterprise Search, Agents, and AI applications. • Lead Data Readiness Assessments and map enterprise information sources. • Design Pipelines, Data Quality, Metadata, Indexing, and Data Governance processes. • Define policies for access control, data classification, Lineage, and Catalog. • Work closely with AI Architects, Delivery teams, and senior customers. • Develop Best Practices, methodologies, and organizational standards in the field. What are we looking for? • Significant experience in Data Architecture, Data Engineering, or Cloud Data Platforms. • Experience designing Data Lakes, Data Warehouses, Lakehouse Architectures, and Data Pipelines. • Strong knowledge of SQL, Data Modeling, ETL/ELT, Data Quality, and Governance. • Understanding of GenAI, RAG, Vector Search, and LLM Applications. • Experience working with Enterprise customers and leading senior-level technical discussions. • Ability to create architecture documents, Roadmaps, and Data Readiness plans. Significant advantage • Experience with Databricks, Snowflake, dbt, Kafka, Fivetran, Collibra, or Alation • Experience building Data infrastructures for GenAI, Enterprise Search, or AI Agents • Experience with Vector Databases and advanced search platforms • Familiarity with Data Mesh, DataOps, Data Observability, and AI Governance Why join us? This is an opportunity to take part in leading some of the most significant Enterprise AI projects in Israel, influence the data architecture of leading organizations, and be at the heart of enterprise AI – working with real customers, real challenges, and real business and technological impact. Show more Show less