Data Solution Architect

Duties & Responsibilities: - Develop and champion the enterprise data governance strategy, aligning it with business objectives and ensuring its effective implementation. - Lead the design, implementation, and evolution of a comprehensive data governance framework, encompassing policies, procedures, standard, roles, responsibilities, and metrics, in accordance with industry best practices and regulatory requirements. - Lead and architect data integration solutions involving SAP platforms, ensuring seamless interoperability between SAP modules and enterprise data sets. - Design and implement robust integration strategies between Product Lifecycle Management (PLM) systems and other enterprise platforms, including SAP, data warehouses, Master Data Management (MDM), and cloud environments. - Collaborate with business and IT stakeholders to define requirements and deliver solutions that integrate PLM data with SAP and other core systems, supporting end-to-end business processes and data traceability. - Design and architect end-to-end data solutions, considering data governance requirements from inception and ensuring solutions adhere to established data governance policies and procedures. - Develop and oversee the implementation of a robust data quality management framework, including data profiling, data quality rules, monitoring, and remediation processes, and define and monitor key data quality metrics. - Design and implement data integration solutions that adhere to data governance standard and facilitate data sharing and interoperability across the organization. - Evaluate and recommend appropriate data governance and related data technologies and platforms, staying abreast of industry trends and emerging technologies, and develop and maintain a technology roadmap. - Engage with IT and Business stakeholders to understand their data needs, translate them into technical requirements, and influence strategic decisions related to data governance and data solutions. - Create and maintain data lineage documentation, including data source, transformation steps, and usage to improve data traceability. - Collaborate with business users, data owners, and technical teams to understand data needs, communicate data governance policies, and address data quality issues. - Contributes to the design and implementation of data architecture to support data governance objectives, including data models, data warehouses, and data lakes. - Define integration testing requirements, lead validations, and own root cause analysis and resolution of integration issues. Skills and Experience : - Bachelors degree in Computer Science, Information Systems, or a related field, or equivalent career experience. - 8 - 10 years of experience with data architecture & engineering, data warehousing, data migration, and significant focus on data governance and strategy. - Strong experience and exposure to SAP, including hands-on integration of SAP modules with enterprise data platforms and third-party solutions. - Proven expertise in integrating Product Lifecycle Management (PLM) with SAP, data warehousing, MDM, and cloud platforms with a focus on data governance, interoperability, and business process optimization. - Demonstrated proficiency in designing, implementing and supporting PLM integration solutions, including experience with PLM data models, APIs, middleware, and integration tools. - Exceptional communication, presentation, and interpersonal skills, with the ability to effectively collaborate and influence stakeholders at all levels of the organization. - Strong analytical and problem-solving abilities. - Ability to set realistic objectives, accurately appraise situations, detect risks, and adapt to changes in priorities. - Experience in IT system change management. - Technical proficiency in programming languages and integration tools as needed. - Knowledge of Agile methodology, ideally Scaled Agile Framework (SAFe).