Assignment Details
Our client, a leading management consulting firm, is looking for a Data Architect with experience in setting up data architecture, GCP experience, and Data mesh architecture.
Key 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.
Skills Required
- Minimum of 10 years of experience in a Data Architect role, supporting warehouse and big data platforms/environments.
- Minimum of 5 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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6 month(s)
5+ years 
Remote
