Senior Data Architect & Enterprise Data Platform Lead

Corning; Oregon; Hybrid; USD 129,000 - 178,000; Full time

Benefits offered by this job

Company bonuses

401(k) matching

Health benefits

Paid time off

Job summary

Corning is seeking a Senior Staff Data Architect Engineer to lead enterprise data architecture supporting R&D and other large business domains. This role defines scalable data models, architecture standards, and data-product patterns to unify complex data across systems.

The ideal candidate has extensive architecture and data-engineering experience across large data platforms, ingestion, modeling, transformation, governance, and enterprise-scale implementations.

Qualifications

• Bachelor's degree in Computer Science, Data Engineering, Data Science, or a related technical discipline.
• 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.

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

Skills

SQL

Python

Scala

Git

DevOps tooling

CI/CD

Education

Bachelor's degree in Computer Science, Data Engineering, Data Science, or related field

Tools

Databricks

dbt

Delta Lake

Job 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 defines scalable data models, architecture standards, and data-product patterns to unify complex data across systems.

The ideal candidate has extensive architecture and data-engineering experience across large data platforms, ingestion, modeling, transformation, governance, and enterprise-scale implementations.