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Goods & Services

Senior Enterprise Architect

Goods & Services

Senior Enterprise Data Architect supporting new data initiatives across Goods & Services. Responsible for enterprise data warehouse design and collaboration with business stakeholders.

Posted 7/7/2026full-timeRemote • 🇲🇽 MexicoSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in enterprise data warehouse design and architecture, with strong capabilities in dimensional data modeling and hands-on experience with Snowflake and AWS. Proficient in defining data integration strategies and creating technical documentation to translate business requirements into effective technical solutions.

Highest-signal resume keywords
Enterprise Data Warehouse DesignDimensional Data ModelingSnowflakeAWSData Integration Strategies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Enterprise Data Warehouse DesignDimensional Data ModelingData IntegrationTechnical DocumentationProof of Concept Development
Soft Skills
CollaborationTechnical Leadership
Tools & Technologies
SnowflakeKafkaAWS
Industry Keywords
Data Warehouse ArchitectureData IntegrationRelational DatabasesAPIsStreaming Data

Tech Stack

Tools & technologies
AWSKafka

About the role

Key responsibilities & impact
  • Designing enterprise data warehouse architectures and data models.
  • Defining data integration strategies across multiple source systems, including relational databases, APIs, and streaming platforms.
  • Creating architecture and technical design documentation.
  • Collaborating with data engineers to implement solutions.
  • Developing proof of concepts for new tools or technologies before broader implementation.
  • Providing technical leadership on new data initiatives while remaining hands-on when needed.

Requirements

What you’ll need
  • Enterprise data warehouse design and architecture.
  • Strong dimensional data modeling experience.
  • Hands-on experience with Snowflake.
  • Experience with Kafka.
  • AWS experience.
  • Enterprise data integration experience, including relational databases, APIs, and streaming data.
  • Ability to create technical architecture documentation and translate business requirements into technical solutions.
  • Hands-on development experience to build proof of concepts when evaluating new technologies.

Benefits

Comp & perks
  • Flexible work arrangements