Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

The Division Data Engineering and Analytics Manager leads the design, delivery, and improvement of the division’s data engineering and analytics foundation. This role oversees the development and support of scalable data pipelines, cloud-based data platforms, and curated data assets to enable trusted reporting, analytics, and advanced analytics use cases. The ideal candidate combines strong data engineering and platform experience with people leadership, delivery discipline, and an understanding of how data supports business performance and future opportunities.

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.
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.

Requirements

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.
Experience in manufacturing, supply chain, operations, finance, or other complex enterprise environments.
Experience with cloud data ecosystems such as Azure, AWS, or GCP.
Familiarity with advanced analytics, machine learning, or AI data preparation requirements.
Experience supporting enterprise-scale reporting and dashboard environments.
Experience implementing or supporting data governance practices and operating models.
Knowledge of DevOps, DataOps, CI/CD, and automated testing practices for data pipelines.

Skills

Databricks
Data Engineering
Data Pipelines
ETL/ELT
Data Models
SQL
Python
Scala
BI
Reporting
Analytics
Data Quality
Data Governance
Controls
Metadata
Lineage
Cloud Data Platforms
Azure
AWS
GCP
Advanced Analytics
Machine Learning
AI
DevOps
DataOps
CI/CD
Automated Testing

Work Type

Full-time

Experience Level

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.

Education Level

Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Engineering, or related field.

Salary/Compensations

$126,898.00 - $174,486.00

Benefits

Company-wide bonuses
Long-term incentives
100% company-paid pension benefit
Matching contributions to 401(k) savings plan
Medical
Dental
Vision
Paid parental leave
Family building support
Fitness
Company-paid life insurance
Disability
Disease management programs
Paid time off
Employee Assistance Program (EAP)

About the Company

Corning is one of the world’s leading innovators in glass, ceramic, and materials science.
The Specialty Materials segment manufactures products that provide more than 150 material formulations for glass, glass ceramics and fluoride crystals to meet demand for unique customer needs.
This segment operates in a wide variety of commercial and industrial markets that include display optics and components, semiconductor optics components, aerospace and defense, astronomy, ophthalmic products, telecommunications components and cover glass that is optimized for portable display devices.

Equal Opportunity

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.