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GCP Data Architect
GCP Data ArchitectVBeyond Corporation • Seattle, WA, United States
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GCP Data Architect

GCP Data Architect

VBeyond Corporation • Seattle, WA, United States
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Responsibilities

  • Architect and design end-to-end data solutions on the Google Cloud Platform, focusing on data warehousing and big data platforms.
  • Collaborate with clients, developers, and architecture teams to understand requirements and translate them into effective data solutions.
  • Develop high-level and detailed data architecture and design documentation.
  • Implement data security frameworks and enterprise data architecture best practices to ensure the integrity and confidentiality of data.
  • Implement data management and data governance strategies, ensuring compliance with industry standards.
  • Work with data flows, taxonomy, lineage, and virtualization techniques to optimize data operations and organization.
  • Apply your expertise in data modeling using tools such as Erwin to create conceptual, logical, and physical data models.
  • Architect both batch and real-time data solutions, leveraging GCP services and technologies.
  • Manage metadata and documentation using Erwin's modeling and data cataloging capabilities.
  • Collaborate with business analysts to understand domain data requirements and incorporate them into the design deliverables.
  • Stay updated on the latest advancements in GCP services, data architecture, and data management techniques.
  • Drive innovation in data analytics by leveraging cutting-edge technologies and methodologies.
  • Demonstrate excellent verbal and written communication skills to communicate complex ideas and concepts effectively.

Requirements

  • Minimum of 6 years of experience in a Data Architect role, supporting warehouse and big data platforms / environments.
  • Minimum of 2 years of experience working in an Enterprise / Senior Data Architect role, including with Cloud data platforms.
  • Strong expertise in data exploration using SQL and a deep understanding of data relationships.
  • Extensive knowledge and implementation experience in data management, governance, and security frameworks.
  • Proven experience in creating high-level and detailed data architecture and design documentation.
  • Strong aptitude for business analysis to understand domain data requirements.
  • Proficiency in Data Warehouse Data Modeling using Erwin, including Data Flow, ER diagrams, and Conceptual, Logical, and Physical models.
  • Hands-on experience with architecting end-to-end data solutions for both batch and real-time designs.
  • Familiarity with metadata and documentation management using Erwin and data cataloging techniques.
  • Previous experience with Teradata and GCP platforms for data curation and analytics use cases.
  • Ability to collaborate effectively with clients, developers, and architecture teams to implement enterprise-level data solutions.
  • Preferred experience with GCP, including BigQuery, and Teradata implementation.
  • Familiarity with Data Fabric and Data Mesh architecture is a plus.
  • Knowledge of Starburst (data virtualization) and IBM Cloud Pak (data governance) is preferred.
  • Excellent verbal and written communication skills
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