Snowflake Architect or Data Architect

 

Focus: Snowflake, AWS, Iceberg, Data Governance, and Ontology-Driven Data Models

 

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.

 

Strong experience in data engineering, data modeling, ETL/ELT, and cloud data platform development.

Hands-on experience with Snowflake, including data modeling, performance optimization, access controls, and scalable warehouse/lakehouse patterns.

Experience working in AWS cloud environments.

Experience with Informatica or similar enterprise data integration platforms for extract-load and ingestion patterns.

Experience with dbt for data transformations, testing, documentation, and analytics engineering workflows.

Understanding of Apache Iceberg or open table formats, including managed tables, schema evolution, interoperability, and catalog-based access.

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.

Strong SQL skills and experience with Python or another data engineering language.

Ability to work with business stakeholders to define data entities, relationships, metrics, and data product requirements.

Strong communication, documentation, and problem-solving skills.