Barnes Group-posted 4 months ago
Full-time
East Granby, CT
5,001-10,000 employees
Transportation Equipment Manufacturing

The position involves leading the enterprise data architecture strategy to align with manufacturing business goals and IT roadmap. The role requires defining architecture standards and best practices for data ingestion, integration, storage, and analytics, as well as designing high-performance data environments that integrate various systems such as ERP, MES, PLM, and supply chain management. The candidate will oversee the implementation of enterprise data platforms, ensuring architectural consistency across data engineering, analytics, and AI/ML initiatives. Collaboration with the Data Governance team is essential to ensure compliance with industry regulations and corporate security standards. The role also involves translating complex technical concepts for business stakeholders and staying ahead of trends in data architecture and emerging technologies.

  • Develop and own the enterprise data architecture strategy.
  • Define architecture standards, patterns, and best practices for data ingestion, integration, storage, and analytics.
  • Lead the design of high-performance data environments integrating ERP, MES, PLM, supply chain, and quality management systems.
  • Oversee the design and implementation of enterprise data platforms, including data lakes, warehouses, and real-time streaming solutions.
  • Ensure architectural consistency across data engineering, analytics, and AI/ML initiatives.
  • Lead data platform selection and optimization.
  • Partner with data engineering teams to build robust ETL/ELT pipelines.
  • Collaborate with the Data Governance team for metadata management and data quality frameworks.
  • Ensure compliance with manufacturing industry regulations and corporate security standards.
  • Translate complex technical concepts into clear business language.
  • Collaborate with various teams to define data requirements for process optimization.
  • Stay ahead of trends in data architecture and recommend new tools and technologies.
  • Provide guidance to data architects, engineers, and analysts on best practices.
  • Conduct architecture reviews to ensure solutions meet business and technical objectives.
  • Excellent verbal and written communication skills.
  • Strong project leadership and organizational skills.
  • Ability to balance strategic vision with tactical execution.
  • Deep expertise in data modeling and database technologies.
  • Hands-on experience with modern data platforms.
  • Experience in data platform engineering, Terraform, CI/CD.
  • Familiarity with ERP, MES, PLM, and quality systems data integration.
  • Experience with streaming data architectures and IIoT platforms.
  • Proficiency in data transformation languages and frameworks.
  • Master's degree in computer science, Information Systems, Engineering, or related field.
  • Experience in manufacturing or related industrial environments.
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