> Markdown version of [/jobs/ext/3843532-senior-staff-data-architect-engineer](https://www.wearedevelopers.com/jobs/ext/3843532-senior-staff-data-architect-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md).

---

# Senior Staff Data Architect Engineer

- **Company:** Corning
- **Location:** Corning, NY, United States (Remote available)
- **Experience:** Expert
- **Salary:** $129,143.0 - $177,572.0
- **Contract:** Permanent contract
- **Skills:** Big Data, Continuous Integration, Data Architecture, Information Engineering, Data Infrastructure, Extract Transform Load (ETL), Database Queries, Python (Programming Language), Metadata, Data Mesh, Scala (Programming Language), Data Streaming, Management of Software Versions, Data Ingestion, DevOps Tools - Open-source, IT Architecture, Git, Data Layers, Microsoft Fabric, Data Lakes, Information Technology, Data Lineage, Apache Kafka, Physical Data Models, Data Pipelines, Databricks
- **Published:** October 20, 2026
- **Apply:** https://corningjobs.corning.com/talentcommunity/apply/1441547200/?locale=en_US

## About the Role

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., * * 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

## Description

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., * * 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