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Applied Materials Logo

Director Metadata Engineering

Applied Materials

$180,000 - $247,500
Aug 30, 2025
Austin, TX, USA •
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Applied Materials is looking to establish and lead the strategic direction, implementation, and evolution of the metadata management framework within its big data and cloud environments to advance data product maturity, enhance data discoverability, quality, governance, and enable robust AI-driven initiatives.

Requirements

  • 10+ years of progressive experience in metadata engineering, data governance, data architecture, and big data/cloud platforms.
  • Proven experience leading metadata management initiatives in cloud environments (e.g., AWS, Azure, GCP), big data frameworks, and supporting AI-driven projects.
  • Strong knowledge of metadata management tools, data governance practices, and modern data architectures.
  • Technical and Strategic Leadership
  • Metadata Management Expertise
  • Cloud and AI Literacy

Responsibilities

  • Define, implement, and continuously enhance the metadata management strategy aligned with data product maturity, AI enablement, and overall enterprise objectives.
  • Lead the adoption of metadata standards, best practices, and advanced metadata engineering techniques within big data/cloud ecosystems.
  • Oversee the development and management of metadata platforms and tools, ensuring robust functionality, scalability, and interoperability in cloud-based environments.
  • Establish frameworks for metadata capture, lineage, cataloging, and governance to facilitate data discovery, quality, and AI readiness.
  • Partner closely with data product management, AI teams, data governance, IT, and analytics units to ensure cohesive metadata strategies that enhance data usage, reliability, and value.
  • Evaluate and adopt innovative technologies, methodologies, and industry best practices in metadata engineering, data governance, and AI-driven data management.
  • Build, mentor, and lead a high-performing team of metadata engineers and specialists, fostering a culture of innovation, technical excellence, and AI-driven mindset.

Other

  • Bachelor’s degree in Computer Science, Information Technology, Data Science, or related technical fields; advanced degree preferred.
  • Excellent communication skills, with the ability to effectively present to executive stakeholders.
  • Demonstrated ability to lead and develop technical teams in a global, cross-functional setting.
  • Collaboration and Influencing Skills
  • Results-Driven