Data Solutions Architect

Job Overview

Hubbell seeks a highly skilled and strategic Data Solutions Architect with a deep technical expertise and strong focus on Data Governance and Strategy. As the Data Solution Architect, you will be responsible for defining and implementing our enterprise-wide data governance framework and ensuring that data solutions are aligned with our overall data strategy. You will drive innovation and best practices in data architecture, data modeling, data integration, data quality, metadate management, and advanced analytics, all while championing data governance principles. This position demands a deep understanding of SAP, PLM, data analytics, data architecture and governance, data design and integration, data best practices, Agile methodology, and the proven ability to influence and collaborate across all levels of the organization.

A Day In The Life

• 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.
• 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.

What will help you thrive in this role?

• Bachelor’s 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)