Job description

Requisition Number: 78639 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 Role Purpose 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. Key Responsibilities • • 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 Experiences/Education - Required • • 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 experience designing enterprise data models for analytics and operational reporting, including dimensional, normalized, data-vault, or comparable modeling approaches • Strong hands-on experience designing or guiding end-to-end ETL/ELT pipelines on cloud or modern data platforms • Experience with Databricks or another large-scale cloud or lakehouse data platform • Experience with dbt or a comparable data-transformation framework • Strong SQL skills and proficiency in Python, Scala, or another data-engineering language • Experience with Git, DevOps tooling, and CI/CD practices • Ability to work in the United States without current or future immigration sponsorship and meet export-control eligibility requirements Experiences/Education - Desired • • Experience with Delta Lake, medallion architecture, data-product design, data lineage, metadata, or cataloging tools • Experience with streaming or event-driven data architecture using Kafka, Kinesis, or comparable technologies • Familiarity with data mesh, domain-oriented architecture, data fabric, semantic layers, or related modern architecture patterns • Experience developing architecture in a large manufacturing, R&D, pharmaceutical, financial, or similarly complex data environment • Experience working with distributed or international technical teams • Ability to work from Sullivan Park is preferred; highly qualified candidates may be considered for a remote arrangement This position does not support immigration sponsorship. The range for this position is $129,143.00 - $177,572.00 assuming full time status. Starting pay for the successful applicant is dependent on a variety of job-related factors, including but not limited to geographic location, market demands, experience, training, and education. A job that shapes a life.  Corning offers you the total package.  Your well-being is our priority. Our compensation and benefits package supports your health and wellness, financial aspirations, and career from day one. • Company-wide bonuses and long-term incentives align with key business results and ensure you are rewarded when the company performs well. When Corning wins, we all win. • As part of our commitment to your financial well-being, we provide a 100% company-paid pension benefit with fixed contributions that grow throughout your career. Combined with matching contributions to your 401(k) savings plan, Corning’s total contributions to your retirement accounts can reach between 7% and 12% of your pay, depending on your age and years of service. • Our health and well-being benefits include medical, dental, vision, paid parental leave, family building support, fitness, company-paid life insurance, disability, disease management programs, paid time off, and an Employee Assistance Program (EAP) to support you and your family. • Getting paid for our work is important, but feeling appreciated and recognized for those contributions motivates us much more. That’s why Corning offers a recognition program to celebrate successes and reward colleagues who make exceptional contributions. We prohibit discrimination on the basis of race, color, gender, age, religion, national origin, sexual orientation, gender identity or expression, disability, veteran status or any other legally protected status. Corning is committed to providing equal employment opportunities and considers requests for reasonable accommodations in accordance with applicable laws. Individuals with disabilities or sincerely held religious beliefs may request reasonable accommodations to participate in the application or interview process, perform essential job functions, or access other benefits and privileges of employment. To submit a request for reasonable accommodation related to disability or religion, please contact us at accommodations@corning.com .

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Must-haves

Requisition Number: 78639
The company built on breakthroughs. 
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. 
Come break through with us.
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
Role Purpose
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
Experiences/Education - Required
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

Nice-to-haves

Ability to work from Sullivan Park is preferred; highly qualified candidates may be considered for a remote arrangement

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ci/cdsqlpython

Platform: successfactors
Effort: medium

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Dental

Vision

401(K)

Paid Time Off

Parental Leave

Wellness