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Data Architect Snowflake

YO AI Labs


Job Location:

Houston, MS - USA

Monthly Salary: Not provided by the employer
Posted: 28 August 2026 (10 hours ago)
Application Deadline: 25 November 2026
Vacancies: 1 Vacancy

Job Summary

Job Description

Role: Snowflake Architect or Data Architect -

Domain : Information technology (IT)

Job Type : Full Time

Location : Houston

Experience : 12 - 18 Years

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.

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 organizations AWS environment.
  • Support data architecture using Iceberg managed tables including open table formats interoperability cataloging and governed access patterns.
  • Use Snowflake Catalog and Snowflake Horizon to support metadata management data discovery governance lineage policy enforcement and trusted data sharing.
  • Collaborate with data architects governance teams analysts application teams and business stakeholders to define trusted data products.
  • Work with domain experts to understand business concepts entities relationships and terminology.
  • Support ontology-driven modeling including entity definitions taxonomies relationships business glossaries and semantic mappings.
  • Translate business and domain concepts into logical data models physical data models and reusable data products.
  • Implement data quality checks validation rules lineage observability and governance controls.
  • Support data products and applications such as news intelligence asset intelligence analytics and AI-enabled use cases.
  • Ensure data solutions meet enterprise requirements for security privacy access control performance and reliability.

Must-Have Requirements:

  • Strong Snowflake Data Architecture experience Data modeling data warehouse/lakehouse design performance optimization security access controls and enterprise-scale Snowflake implementations.
  • Data Governance & Metadata Management expertise Hands-on experience with data cataloging metadata management data lineage data quality governance frameworks and policy-driven data access.
  • Understanding of Ontology & Semantic Modeling.
  • Working knowledge of AWS services such as S3 Glue Lambda Athena EMR Redshift and cloud-based data architectures.
  • Oil & Natural Gas Midstream domain experience (Mandatory) Experience supporting pipeline transportation storage LNG natural gas or other midstream operations and data environments.
  • Claude AI / Generative AI experience (Mandatory) Experience working with Claude LLM-based solutions AI-ready data platforms RAG architectures or GenAI implementations.