Snowflake Architect

Houston, TX, US • Posted 1 day ago • Updated 1 day ago
Full Time
On-site
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Job Details

Skills

  • DATA INFRASTRUCTURE
  • GOVERNANCE
  • DATA STRUCTURES
  • ASSET MANAGEMENT
  • DATA ANALYSIS
  • DATA SYSTEMS
  • REQUIREMENTS ANALYSIS
  • INFRASTRUCTURE MANAGEMENT
  • Snowflake
  • AMAZON WEB SERVICES
  • data architecture
  • data validation
  • Reliability
  • Data Pipelines
  • Artificial Intelligence
  • Data Ingestion
  • Testing Skills
  • Safety Principles
  • Writing Documentation
  • Access Controls
  • Digital Products
  • Semantics
  • Business Concepts
  • Physical Data Models
  • Conceptual Models
  • Interoperability
  • Modelling Skills
  • Catalogues
  • Data as a Services
  • Data Discovery
  • Meta-Data Management
  • Policy Enforcement
  • Delivery Pipeline
  • Data Sharing
  • Logical Data Models
  • Taxonomies

Summary

Job Title: Snowflake Architect
Job Location: Houston, Texas
Job Type: Full-Time

Job Description:

  1. Design, build, and maintain scalable data pipelines across structured, semi-structured, and unstructured data sources.
  2. Develop data ingestion and extract-load processes using Informatica, aligning with enterprise standards and existing in-house capabilities.
  3. Build transformation logic using dbt, including modular models, testing, documentation, and deployment workflows.
  4. Design and manage data structures in Snowflake, with Snowflake positioned as the central strategic data platform.
  5. Work with AWS-based data services and infrastructure, supporting applications and data products running in the organization's AWS environment.
  6. Support data architecture using Iceberg managed tables, including open table formats, interoperability, cataloging, and governed access patterns.
  7. Use Snowflake Catalog and Snowflake Horizon to support metadata management, data discovery, governance, lineage, policy enforcement, and trusted data sharing.
  8. Collaborate with data architects, governance teams, analysts, application teams, and business stakeholders to define trusted data products.
  9. Work with domain experts to understand business concepts, entities, relationships, and terminology.
  10. Support ontology-driven modeling, including entity definitions, taxonomies, relationships, business glossaries, and semantic mappings.
  11. Translate business and domain concepts into logical data models, physical data models, and reusable data products.
  12. Implement data quality checks, validation rules, lineage, observability, and governance controls.
  13. Support data products and applications such as news intelligence, asset intelligence, analytics, and AI-enabled use cases.
  14. Ensure data solutions meet enterprise requirements for security, privacy, access control, performance, and reliability.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 91165639
  • Position Id: 2026-17730
  • Posted 1 day ago

Company Info

About Staffingine LLC

Staffingine LLC specializes in enhancing organizational performance through the effective and competent application of technology and outsourcing solutions for our clients. Our objective is to not only solve short term business and technology needs, but to create next-generation of competitive advantages that drive future growth and success.

With the state of the art development center in Noida and associates working in India and US, we provide services to businesses globally. Our broad resource of associates ensures that our clients have easy access to resources that they need in their specific business and technical domain. Staffingine's resources, coupled with Staffingine Group widely spread channel & infrastructure, gives client unique scalability to meet the needs of projects of any size, at any location.

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