Senior Data Architect Engineer

The company built on breakthroughs. Join us.

Corning is one of the world’s leading innovators in glass, ceramic, and materials science. From the depths of the ocean to the farthest reaches of space, our technologies push the boundaries of what’s possible.

How do we do this? With our people. They break through limitations and expectations– not once in a career, but every day. They help move our company,and the world, forward.

At Corning, there are endless possibilities for making an impact. You can help connect the unconnected, drive the future of automobiles, transform at-home entertainment, and ensure the delivery of lifesaving medicines. And so much more.

Come break through with us.

Corning’s businesses are ever-evolving to best serve our customers, industries, and consumers. Today, we accelerate and transform life sciences, mobile consumer electronics, optical communications, display, automotive, and solar markets. We are changing the world with:

• Trusted products that accelerate drug discovery, development, and delivery to save lives
• Damage-resistant cover glass to enhance the devices that keep us connected
• Optical fiber, wireless technologies, and connectivity solutions to carry information and ideas at the speed of light
• Precision glass for advanced displays to deliver richer experiences
• Auto glass and ceramics to drive cleaner, safer, and smarter transportation
• Solar polysilicon, wafers, and innovative photovoltaic modules, enabling low-cost solar energy solutions

Corning is seeking a Senior Staff Data Architect Engineer to lead enterprise data architecture supporting R&D and other large business domains. This role will define scalable data models, architecture standards, and data-product patterns that allow teams to bring complex data together in consistent, reliable, and reusable ways.

The ideal candidate brings deep architecture and data-engineering experience, particularly across large data platforms, data ingestion, modeling, transformation, governance, and enterprise-scale implementation. Direct R&D experience is helpful but not required; strong architecture experience in manufacturing, finance, pharmaceuticals, or another complex data domain is equally relevant.

• Lead the design and evolution of enterprise data architecture, including conceptual, logical, and physical data models, canonical models, shared dimensions, and reusable data products
• Define scalable data-ingestion, transformation, storage, and serving patterns across modern cloud or lakehouse platforms
• Establish architecture standards for data products, pipelines, documentation, versioning, lineage, lifecycle management, and CI/CD-enabled reference implementations
• Partner with data engineers, product owners, analysts, governance teams, security teams, and business stakeholders to translate complex needs into practical data designs
• Embed data quality, access controls, PII handling, compliance, metadata, and governance requirements into models and pipelines
• Provide technical leadership, architecture guidance, and mentorship to data engineers and analysts
• Evaluate emerging architecture approaches, including lakehouse, data mesh, semantic-layer, streaming, and event-driven patterns
• Communicate architecture decisions, tradeoffs, and recommendations clearly to technical and nontechnical stakeholders

• Bachelor’s degree in Computer Science, Data Engineering, Data Science, or a related technical discipline, or an equivalent combination of education and relevant experience
• Seven or more years of relevant data and technical experience, including at least four years in a Data Architect, Senior Data Engineer, or comparable role focused on data design and architecture
• Demonstrated…