Associate Director - Information Architect Wave 2 Build

As a Data Architect, you will play a crucial role in designing and constructing data and information architecture to support various data use cases. You will be responsible for architecting and implementing data concepts and designs while providing best practice recommendations for data lifecycle flows, standards, architectures, security, and performance. Your collaboration with data stakeholders, technical teams, and leadership will be vital in ensuring the maintenance of data structures that align with business needs and industry best practices. Key Responsibilities: - Architecture & Design Architect and document data model concepts and solutions. Develop logical and physical data models to enhance data quality and reduce redundancy. Design end-to-end data management solutions across cloud-native platforms, OLTP, Data Warehouses, and Data Marts. Create data integration processes using ETL/ELT tools to load data from multiple source systems. - Strategy & Governance Implement data strategies, build data flows, and develop conceptual data models in collaboration with project stakeholders. Provide expertise in Data Governance and Master Data Management solutions. Translate business requirements into scalable data models. - Project Delivery & Client Engagement Support data and AI engagements by defining objectives, managing risks, and delivering data solutions. Engage with clients for data source discovery and data request creation. Lead data discovery and ETL/ELT processes for structured and unstructured data. Assist in creating analytics and machine learning models from design to implementation. Design and manage reporting processes, dashboards, and key business metrics. Qualifications Required: - Bachelor's degree in Computer Science, Information Technology, or related field. - Proven experience in data architecture, data modeling, and data integration. - Proficiency in ETL/ELT tools, data governance, and Master Data Management solutions. - Strong analytical and problem-solving skills with the ability to translate business needs into scalable data solutions. Please note that additional details about the company were not provided in the job description. As a Data Architect, you will play a crucial role in designing and constructing data and information architecture to support various data use cases. You will be responsible for architecting and implementing data concepts and designs while providing best practice recommendations for data lifecycle flows, standards, architectures, security, and performance. Your collaboration with data stakeholders, technical teams, and leadership will be vital in ensuring the maintenance of data structures that align with business needs and industry best practices. Key Responsibilities: - Architecture & Design Architect and document data model concepts and solutions. Develop logical and physical data models to enhance data quality and reduce redundancy. Design end-to-end data management solutions across cloud-native platforms, OLTP, Data Warehouses, and Data Marts. Create data integration processes using ETL/ELT tools to load data from multiple source systems. - Strategy & Governance Implement data strategies, build data flows, and develop conceptual data models in collaboration with project stakeholders. Provide expertise in Data Governance and Master Data Management solutions. Translate business requirements into scalable data models. - Project Delivery & Client Engagement Support data and AI engagements by defining objectives, managing risks, and delivering data solutions. Engage with clients for data source discovery and data request creation. Lead data discovery and ETL/ELT processes for structured and unstructured data. Assist in creating analytics and machine learning models from design to implementation. Design and manage reporting processes, dashboards, and key business metrics. Qualifications Required: - Bachelor's degree in Computer Science, Information Technology, or related field. - Proven experience in data architecture, data modeling, and data integration. - Proficiency in ETL/ELT tools, data governance, and Master Data Management solutions. - Strong analytical and problem-solving skills with the ability to translate business needs into scalable data solutions. Please note that additional details about the company were not provided in the job description.