Essential Conditions 1) Excellent knowledge of Snowflake Data Architecture, including enterprise-scale Snowflake implementations, data modeling, data warehouse/lakehouse architecture, performance optimization, security, and access controls. 2) Proficiency in Data Governance and Metadata Management: Practical knowledge of data cataloging, metadata management, data lineage, data quality, governance frameworks, and policy-driven data access. 3) Knowledge of Semantic Modeling and Ontology 4) Proficiency with cloud-based data structures and AWS technologies like S3, Glue, Lambda, Athena, EMR, and Redshift. 5) Experience supporting pipeline, transportation, storage, LNG, natural gas, or other midstream operations and data environments is required in the oil and natural gas midstream sector. 6) Experience with Claude, LLM-based solutions, AI-ready data platforms, RAG architectures, or GenAI implementations is required.
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