Sr Data Engineer - Databricks

Your Job

Georgia-Pacific is seeking a Senior Databricks Data Engineer to join our Data Platform team in Atlanta, Georgia.

In this role, you will create long-term value across four business units by expanding access to trusted, high-quality data spanning hundreds of systems and thousands of data assets.

You will build and enhance our Databricks platform, deliver reliable and scalable data pipelines, and help establish reusable engineering patterns that align with enterprise architecture, governance, security, and data-quality standards.

This role is based in Atlanta, GA at our GP HQ located on Peachtree St.

It is hybrid with an expectation of three (3) days in office per week.

Our Team

The Georgia-Pacific Data Platform team partners with Data Governance, Data Delivery, Data Product Owners, Solution Architects, and other platform and product teams.

Together, the team develops governed, reusable capabilities that improve data accessibility, reliability, lineage, and quality while supporting analytics, advanced analytics, and AI use cases across the enterprise.

What You Will Do


* Design, build, deploy, and support Databricks-native data engineering solutions, including Delta Lake pipelines, Lakeflow Declarative Pipelines, Databricks Jobs, Auto Loader ingestion pipelines, Unity Catalog resources, and CI/CD automation


* Develop reliable, governed data platforms and pipelines that improve the accuracy, consistency, accessibility, and trustworthiness of enterprise data assets


* Create automated tools, reusable templates, and self-service patterns that accelerate data development, ingestion, feature engineering, and consumption


* Operate and improve the platform through performance monitoring, incident resolution, migrations, upgrades, observability, and cost optimization aligned with long-term scalability and resilience goals


* Partner with product owners, operations teams, architects, and delivery teams to identify common use cases, prioritize platform enhancements, and expand adoption


* Integrate Databricks pipelines with enterprise governance, metadata, lineage, classification, certification, ownership, and data-quality capabilities


* Develop and curate governed data assets for AI and advanced analytics use cases, including semantic models, APIs, Genie Spaces, and AI agents


* Implement validation rules, monitoring, and remediation processes that improve the fitness and reliability of critical data assets

Who You Are (Basic Qualifications)


* Experience designing, building, and supporting production-grade Databricks, Delta Lake, and Apache Spark pipelines for batch and streaming workloads


* Experience developing Databricks Jobs (i.e.

Lakeflow Declarative Pipelines, Structured Streaming) and multi-task workflows, including scheduling, parameters, dependencies, retries, notifications, and operational monitoring


* Experience implementing Databricks infrastructure and environment-aware deployme...