Sr Data Engineer - Cellulose

Sr Data Engineer - CelluloseLocation(s) Atlanta, Georgia Company Georgia-Pacific Career Field Information Systems & Technology Job Number 194669Own 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 itemsLead engineering quality and release readiness through design and code reviews, testing, troubleshooting, deployment decisions, architecture documentation, and production supportDesign and improve data architecture, models, and ETL/ELT integrations across AWS services, Amazon Redshift, enterprise data lakes, APIs, files, external sources, and semantic modelsGuide Power BI semantic models, datasets, dashboards, paginated reports, refresh architecture, DAX and SQL performance, row-level security, gateways, and self-service analyticsApply version control, infrastructure as code, CI/CD, audit controls, observability, alerting, recovery patterns, and release governance to improve reliability, security, maintainability, and cost effectivenessEvaluate and apply approved AI-assisted engineering and Databricks capabilities with human review, security, traceability, data governance, and quality controlsPartner 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 transferExperience leading enterprise data, business intelligence, or analytics solutions from technical design through deployment and production supportHands-on experience with AWS data services, including Amazon S3, Redshift, Glue, Lambda, Step Functions, DynamoDB, Athena, EventBridge, or IAMExperience using SQL for data modeling, ETL/ELT development, performance tuning, and data-quality controlsExperience developing or supporting Power BI semantic models, datasets, refresh processes, security, performance, and troubleshootingExperience with Git-based version control, testing, CI/CD, release governance, infrastructure as code, or multi-environment deploymentsExperience leading incident resolution, documenting technical decisions, coordinating work across stakeholders, and providing technical guidance to engineers or developersMust have legal authorization to work permanently in the United States for any employer without requiring a visa transfer or visa sponsorshipExperience with Databricks, Delta Lake, Unity Catalog, Genie, conversational analytics, or governed data-product use casesExperience applying AI-assisted engineering practices with security, validation, traceability, and human review controlsExperience with data warehousing concepts, including table grain, fact and dimension models, surrogate keys, slowly changing dimensions, lineage, and audit requirementsExperience with manufacturing, packaging, supply chain, finance, inventory, or logistics dataExperience with Infor M3, enterprise data lakes, Denodo, data virtualization, or API-driven integrationsExperience with observability, automated incident creation, operational dashboards, FinOps, or relevant AWS, Power BI, Databricks, architecture, or data-engineering certifications