Job
Description
Role Overview: As a Senior Manager, Data Architecture at McDonald's, you will be responsible for designing and managing data architectures to ensure seamless integration, quality, and governance of enterprise data systems in order to support business objectives effectively. Your primary focus will be on scalable data architecture, data integration, data quality & governance, business alignment, and technology evaluation. Key Responsibilities: - Design, implement, and oversee scalable data architectures to support enterprise data systems. - Develop schemas, tables, indexes, and partitioning strategies for optimal performance. Document data dictionaries, metadata, and lineage for clarity and governance. - Collaborate with engineers to implement ETL/ELT processes, support data integration from APIs, streaming sources, and third-party systems. - Ensure seamless integration of data across various platforms and applications. Troubleshoot data issues and performance bottlenecks. - Maintain data quality and governance to meet business and regulatory requirements. - Collaborate with cross-functional teams to align data architecture with business objectives. - Evaluate and integrate new data technologies to enhance architecture capabilities. Qualifications Required: - Proficiency in data modeling, database design, and data integration techniques. - Experience with data architecture frameworks and tools such as TOGAF, ER/Studio, Talend. - Proficiency in SQL, data modeling tools, and ETL processes. Knowledge of cloud data services and big data concepts. - Strong understanding of data governance, quality, and compliance standards. - Ability to communicate technical concepts clearly. - Background in Computer Science, Information Systems, or a related field with a bachelor's degree or higher. - 5+ years of professional experience in data architecture or a related field. (Note: No additional details about the company were provided in the job description.) Role Overview: As a Senior Manager, Data Architecture at McDonald's, you will be responsible for designing and managing data architectures to ensure seamless integration, quality, and governance of enterprise data systems in order to support business objectives effectively. Your primary focus will be on scalable data architecture, data integration, data quality & governance, business alignment, and technology evaluation. Key Responsibilities: - Design, implement, and oversee scalable data architectures to support enterprise data systems. - Develop schemas, tables, indexes, and partitioning strategies for optimal performance. Document data dictionaries, metadata, and lineage for clarity and governance. - Collaborate with engineers to implement ETL/ELT processes, support data integration from APIs, streaming sources, and third-party systems. - Ensure seamless integration of data across various platforms and applications. Troubleshoot data issues and performance bottlenecks. - Maintain data quality and governance to meet business and regulatory requirements. - Collaborate with cross-functional teams to align data architecture with business objectives. - Evaluate and integrate new data technologies to enhance architecture capabilities. Qualifications Required: - Proficiency in data modeling, database design, and data integration techniques. - Experience with data architecture frameworks and tools such as TOGAF, ER/Studio, Talend. - Proficiency in SQL, data modeling tools, and ETL processes. Knowledge of cloud data services and big data concepts. - Strong understanding of data governance, quality, and compliance standards. - Ability to communicate technical concepts clearly. - Background in Computer Science, Information Systems, or a related field with a bachelor's degree or higher. - 5+ years of professional experience in data architecture or a related field. (Note: No additional details about the company were provided in the job description.)
