Principal Data Architect
Lead the data architecture function for enterprise AI projects, designing data platforms, governance processes, and infrastructure for large organizations.
Responsabilidades
- Lead data architecture for enterprise customers.
- Design AI-ready data architectures for retrieval-augmented generation, enterprise search, agents, and AI applications.
- Lead data readiness assessments and map enterprise information sources.
- Design pipelines, data quality frameworks, metadata, indexing, and data governance processes.
- Define policies for access control, data classification, data lineage, and data catalogs.
- Collaborate with AI architects, delivery teams, and senior customer stakeholders.
- Develop best practices, methodologies, and organizational standards for data architecture.
Requisitos
- 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 data governance.
- Understanding of GenAI, retrieval-augmented generation, vector search, and large language model applications.
- Experience working with enterprise customers and leading senior-level technical discussions.
- Ability to create architecture documents, roadmaps, and data readiness plans.
Se valora
- Experience with Databricks, Snowflake, dbt, Kafka, Fivetran, Collibra, or Alation.
- Experience building data infrastructure 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.
Beneficios
- Work on major enterprise AI projects in Israel.
- Influence the data architecture of leading organizations.
- Work directly with enterprise customers on complex technical challenges and business-impacting solutions.