Data Modeler/ Data Architect

As an Enterprise Data Architect, you will be responsible for the following: - Designing and governing the delivery of the Domain Data Architecture to ensure it aligns with the design. - Ensuring consistency in data modeling approaches across different solutions within the domain. - Designing and overseeing the delivery of data integration across the domain's solutions. In order to excel in this role, you should have expertise in the following areas: - Methodology expertise in data architecture and modeling, translating business requirements and functional specifications into data models. - Data warehousing and Business Intelligence data products modeling using Inmon, Kimball, Data Vault, and Codd modeling patterns. - Business and functional knowledge of the domain, including understanding business terminology, processes, key principles, objectives, trends, and evolution. - Awareness of master data management and data stewardship processes. - Knowledge of data persistency technologies such as SQL (Ansi-2003 for relational data querying & Ansi-2023 for XML, JSON, Property Graph querying), Snowflake specificities, database structures for performance optimization, and awareness of other NoSQL data persistency technologies. - Proficiency in Business English and technical writing. - Nice to have: Experience or knowledge of project delivery through agile approaches and methodologies like Scrum, Secure 5.0, and Product-based organization. In terms of Technical Stack expertise, you should be familiar with: - SAP Power Designer modeling (CDM, LDM, PDM) or Erwin. - Snowflake General Concepts, specifically DDL & DML, Snow Sight, and Data Exchange/Data Sharing concepts. - AWS S3 & Athena (as a query user). - Confluence & Jira (as a contributing user). - Nice to have: Familiarity with Bitbucket (as a basic user). Kindly note that additional details about the company were not provided in the job description. As an Enterprise Data Architect, you will be responsible for the following: - Designing and governing the delivery of the Domain Data Architecture to ensure it aligns with the design. - Ensuring consistency in data modeling approaches across different solutions within the domain. - Designing and overseeing the delivery of data integration across the domain's solutions. In order to excel in this role, you should have expertise in the following areas: - Methodology expertise in data architecture and modeling, translating business requirements and functional specifications into data models. - Data warehousing and Business Intelligence data products modeling using Inmon, Kimball, Data Vault, and Codd modeling patterns. - Business and functional knowledge of the domain, including understanding business terminology, processes, key principles, objectives, trends, and evolution. - Awareness of master data management and data stewardship processes. - Knowledge of data persistency technologies such as SQL (Ansi-2003 for relational data querying & Ansi-2023 for XML, JSON, Property Graph querying), Snowflake specificities, database structures for performance optimization, and awareness of other NoSQL data persistency technologies. - Proficiency in Business English and technical writing. - Nice to have: Experience or knowledge of project delivery through agile approaches and methodologies like Scrum, Secure 5.0, and Product-based organization. In terms of Technical Stack expertise, you should be familiar with: - SAP Power Designer modeling (CDM, LDM, PDM) or Erwin. - Snowflake General Concepts, specifically DDL & DML, Snow Sight, and Data Exchange/Data Sharing concepts. - AWS S3 & Athena (as a query user). - Confluence & Jira (as a contributing user). - Nice to have: Familiarity with Bitbucket (as a basic user). Kindly note that additional details about the company were not provided in the job description.