Data Architect
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Focus: Snowflake, AWS, Iceberg, Data Governance, and Ontology-Driven Data Models
Data Architect- Familiarity with data cataloging, governance, lineage, metadata management, and policy-driven data access.
Understanding of ontology, semantic modeling, taxonomies, business glossaries, or knowledge graph concepts. + Claude Mandatory + AWS working knowledge + Oil and Natural Gad Mid Stream Domain
Role Summary
We are looking for a Data Engineer to help design, build, and scale a modern cloud data platform centered on Snowflake and AWS. The ideal candidate has strong data engineering fundamentals, experience with enterprise data platforms, and the ability to work with ontologies, semantic models, metadata, and governed data products.
This role will support strategic data initiatives using Snowflake, AWS, Iceberg managed tables, Snowflake Catalog, Snowflake Horizon, Informatica, and dbt. The Data Engineer will help create trusted, reusable data assets that support applications, analytics, AI, and business intelligence use cases.
Key Responsibilities
- Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources.
- Develop data ingestion and extract-load processes using Informatica, aligning with enterprise standards and existing in-house capabilities.
- Build transformation logic using dbt, including modular models, testing, documentation, and deployment workflows.
- Design and manage data structures in Snowflake, with Snowflake positioned as the central strategic data platform.
- Work with AWS-based data services and infrastructure, supporting applications and data products running in the organization’s AWS environment.
- Support data architecture using Iceberg managed tables, including open table formats, interoperability, cataloging, and governed access patterns.
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