Senior Data Engineering & Analytics Leader

Corning Incorporated; Village of Fairport (NY); On-site; USD 127,000 - 174,000; Full time

Benefits offered by this job

Company-wide bonuses

401(k) with matching

Health and wellness benefits

Pension benefit

Job summary

Corning is seeking a Data Engineering and Analytics Manager to lead the division’s data engineering and analytics foundation, overseeing scalable data pipelines, cloud platforms, and curated data assets for trusted reporting and analytics.

You will stabilize the Databricks environment, set delivery standards, and collaborate with business, IT, and analytics teams to ensure data reliability, governance, and readiness for advanced analytics opportunities.

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.
• 5+ years of experience in data engineering, data integration, analytics engineering, or related data platform roles.
• 2+ years of experience leading teams, projects, or delivery efforts in a data and analytics environment.
• Hands-on experience with modern data platforms and cloud-based data engineering solutions, including Databricks or similar technologies.
• Strong experience in designing, building, and supporting data pipelines, ETL/ELT processes, and curated data models.
• Experience with SQL and one or more programming/scripting languages such as Python, Scala, or similar.
• Experience working with BI, reporting, or analytics teams to support trusted data consumption.
• Strong understanding of data quality, governance, controls, and metadata/lineage concepts.
• Demonstrated ability to work across business and technology teams and communicate effectively with technical and non-technical stakeholders.

Responsibilities

• Lead the day-to-day management, support, and enhancement of the division’s data engineering environment, including Databricks and related data platform capabilities.
• Build and maintain curated, trusted, and reusable data assets that support reporting, dashboards, self-service analytics, and business intelligence.
• Lead, coach, and develop data engineering resources, including internal team members and partners as applicable.
• Drive platform data governance partnering with business, and functional stakeholders to improve data quality, lineage, controls, and ownership across the data lifecycle.
• Help build the data foundation required to support future advanced analytics, data science, and AI use cases.

Skills

Data engineering

Databricks

SQL

Python

Data governance

Cross-functional

BI analytics

Leadership

Education

Bachelor’s degree (CS/IS/Engineering/Data Analytics)

Tools

Azure

AWS

GCP

Job description

Corning is seeking a Data Engineering and Analytics Manager to lead the division’s data engineering and analytics foundation, overseeing scalable data pipelines, cloud platforms, and curated data assets for trusted reporting and analytics.

You will stabilize the Databricks environment, set delivery standards, and collaborate with business, IT, and analytics teams to ensure data reliability, governance, and readiness for advanced analytics opportunities.