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. Ensure 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. 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. 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)