Senior Data Engineer - Cellulose Data Platform

Georgia Pacific; Atlanta (GA); On-site; USD 140,000 - 190,000; Full time

Job summary

Georgia‑Pacific is seeking a Sr Data Engineer in Atlanta to lead end‑to‑end data, BI, and analytics solutions across AWS, Redshift, and Databricks within the Packaging & Cellulose Delivery Team. You will guide architecture, quality, and delivery while ensuring production reliability and AI-enabled capabilities.

You will collaborate with cross‑functional teams, mentor engineers, and shape data governance, security, and cost efficiency in a fast‑paced environment.

Qualifications

• Experience leading enterprise data/BI/analytics initiatives.
• Hands-on experience with AWS data services including S3, Redshift, Glue, Lambda, Step Functions, DynamoDB, Athena, EventBridge, IAM.
• Experience using SQL for data modeling, ETL/ELT development, performance tuning, and data quality controls.
• Experience developing or supporting Power BI semantic models, datasets, refresh processes, security, performance, and troubleshooting.
• Experience with Git-based version control, testing, CI/CD, release governance, infrastructure as code, or multi-environment deployments.
• Experience leading incident resolution, documenting technical decisions, coordinating work across stakeholders, and providing technical guidance to engineers or developers.
• Must have legal authorization to work permanently in the United States for any employer without visa sponsorship.

Responsibilities

• Own end-to-end technical design and delivery of data, BI, 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, Redshift, 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 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.

Skills

Enterprise data leadership

AWS data services

SQL data modeling

Power BI models

Git-based version control

CI/CD

Production support

Data governance

Mentoring engineers

US work authorization

Tools

Power BI

Amazon Redshift

Databricks

Infra as Code

Job description

Georgia‑Pacific is seeking a Sr Data Engineer in Atlanta to lead end‑to‑end data, BI, and analytics solutions across AWS, Redshift, and Databricks within the Packaging & Cellulose Delivery Team. You will guide architecture, quality, and delivery while ensuring production reliability and AI-enabled capabilities.

You will collaborate with cross‑functional teams, mentor engineers, and shape data governance, security, and cost efficiency in a fast‑paced environment.