Data Architect

Carnival Corporation•Seattle, WA

5d•$124,600 - $168,200•Hybrid

About The Position

The Data Architect is the principal designer and steward of Holland America Line and Seabourn's enterprise data architecture, centered on our Snowflake-first platform. This role defines canonical data models, integration patterns, and governance standards that enable analytics, Customer 360, marketing activation, and AI/ML initiatives across the organization. Serving as the architectural authority across all data engineering PODs, the Data Architect ensures that solutions built by internal teams, offshore partners, and vendors conform to a coherent, scalable, and cost-efficient enterprise design.

Requirements

Computer Science, Information Technology, or equivalent experience; proficiency and certification in Snowflake; proficiency in cloud concepts; Excellent collaboration skills and the ability to work with diverse organizations and teams; Strong oral and written communication skills; Strong analytical, problem-solving, and organizational skills.
7 years of Architecture, Administration, and development experience in data warehousing, ETL, and BI.
Experience in cloud concepts (minimum 3 years preferred).
Software engineering with experience in design, development, and scheduling batch scripts (minimum 5 years required).
Experience with a relational database (like Oracle, Snowflake, SQL Server, MySQL, Teradata or Netezza) (minimum 5 years required).
Experience in Snowflake.

Nice To Haves

Candidates must be located in (or willing to relocate to) the Seattle, WA area.

Responsibilities

Establish and maintain the target-state architecture for the Snowflake data platform (lakehouse patterns, medallion layering, schema design, naming conventions), and ensure all POD-level development conforms to these standards.
Enable AI/ML and advanced analytics foundations.
Optimize platform cost, performance, and scalability.
Define ingestion, CDC, ETL, and API patterns connecting Snowflake with multiple source and target systems.
Establish data governance, security, and compliance frameworks.