Sr Data Engineer - Cellulose

Your Job

Georgia-Pacific is seeking a Sr Data Engineer to join the IT Data & Analytics Packaging & Cellulose Delivery Team in Atlanta, Georgia.

In this hands-on role, you will lead the architecture, engineering quality, delivery coordination, and production reliability of data, business intelligence, and analytics solutions supporting the Packaging & Cellulose Digital Core business.

You will guide technical decisions across AWS, Amazon Redshift, Power BI, Microsoft BI technologies, source integrations, and emerging Databricks capabilities while helping build scalable, reliable, and AI-enabled solutions.

This role is based in our HQ in Atlanta, GA and the expectation is three (3) days in the office per week.

Our Team

The IT Data & Analytics Packaging & Cellulose Delivery Team designs, builds, and maintains solutions that support Georgia-Pacific's data and analytics needs.

The global team partners with GP IT, Koch Technology Center, product owners, analysts, architects, platform teams, support teams, and business stakeholders to enable timely, data-driven decision making.

What You Will Do


* Own the end-to-end technical design and delivery of data, business intelligence, and analytics solutions, translating business needs into scalable architectures, estimates, delivery plans, and technical work items


* Lead engineering quality and release readiness through design and code reviews, testing, troubleshooting, deployment decisions, architecture documentation, and production support


* Design and improve data architecture, models, and ETL/ELT integrations across AWS services, Amazon Redshift, enterprise data lakes, APIs, files, external sources, and semantic models


* Guide Power BI semantic models, datasets, dashboards, paginated reports, refresh architecture, DAX and SQL performance, row-level security, gateways, and self-service analytics


* Apply version control, infrastructure as code, CI/CD, audit controls, observability, alerting, recovery patterns, and release governance to improve reliability, security, maintainability, and cost effectiveness


* Evaluate and apply approved AI-assisted engineering and Databricks capabilities with human review, security, traceability, data governance, and quality controls


* Partner across technical and business teams to resolve dependencies, manage technical risk and debt, mentor engineers and BI developers, and build shared ownership through documentation and knowledge transfer

Who You Are (Basic Qualifications)


* Experience leading enterprise data, business intelligence, or analytics solutions from technical design through deployment and production support


* Hands-on experience with AWS data services, including Amazon S3, Redshift, Glue, Lambda, Step Functions, DynamoDB, Athena, EventBridge, or IAM


* Experience using SQL for data modeling, ETL/ELT development, performance tuning, and data-quality controls


* Experience developing or supporting Power BI...