Job description

Job Summary We seek a highly experienced and passionate GCP Architect to join our team. As a GCP Architect, you will be responsible for designing and implementing scalable and efficient data solutions on the Google Cloud Platform. You will work with clients, developers, and architecture teams to understand requirements and translate them into effective data solutions. You will also be responsible for developing high-level and detailed data architecture and design documentation and implementing data security frameworks and enterprise data architecture best practices. 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. If you are passionate about data architecture, possess expertise in GCP services, and have a successful track record in delivering data solutions, we invite you to join our team. Contribute to the design and implementation of cutting-edge data platforms on the Google Cloud Platform and drive innovation in data analytics.

Requirements

Must-haves

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.
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.

Nice-to-haves

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.

Application prep

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Keywords to mirror

gcpsql

Platform: manatal
Effort: medium