Lead Data Engineer

Your Job

As a Lead Data Platform Engineer on the Georgia Pacific Data Platform team, you will help deliver trusted, high-quality data across hundreds of systems and thousands of data assets.

You will own, deliver, operate, and help architect the Enterprise Data Lake, Ingestion Framework, and Databricks Platform while partnering with Data Governance, Data Delivery, Product Owners, and Solution Architects to keep the platform reliable, scalable, governed, and aligned with business needs.

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

This role is a hybrid-based role.

Our Team

The Georgia Pacific Data Platform team builds, manages, & operates centralized products that support Georgia Pacific's Business Units and IT.

These products enable data to be ingested, stored, processed, governed, managed, presented, and consumed consistently across the enterprise.

What You Will Do


* Lead and optimize the GP data platform (Enterprise Data Lake, Ingestion Framework, Databricks), ensuring reliability, integrity, and cost efficiency data and data infrastructure


* Collaborate with cross-functional teams to deliver features, maintain a healthy agile process, and enhance platform accessibility for customers


* Drive automation, operational excellence, and continuous improvement through performance monitoring, issue resolution, and development of self-service tools

Who You Are (Basic Qualifications)


* Experience designing, building, and maintaining large-scale distributed systems


* Experience serving as a senior technical leader overseeing multiple data engineering teams


* Experience in architectural design and systems integration for multi-stakeholder, enterprise-grade platforms


* Experience leading operations for highly available data platforms and data lakes


* Demonstrated experience in data infrastructure, including proficiency with Infrastructure as Code practices and skilled in GIT and CI/CD design patterns

What Will Put You Ahead


* Delivered innovative, scalable data solutions using Python, SQL, Spark, and Delta Lake, while optimizing data accessibility with open table formats (Delta, Hudi, Iceberg)


* Enhanced system efficiency and reliability by leveraging Terraform, Git/CI-CD workflows, and DAG tools (Airflow, Step Functions, Databricks Declarative Pipelines)


* Implemented and optimized the Databricks Data Platform and AWS services (Lambda, Glue, EventBridge, ECS, Kafka, etc.) to support business objectives

At Koch companies, we are entrepreneurs.

This means we openly challenge the status quo, find new ways to create value and get rewarded for our individual contributions.

Any compensation range provided for a role is an estimate determined by available market data.

The actual amount may be higher or lower than the range provided considering each candidate's knowledge, skills, abilities, and geographic location.

If you have questions, please speak to your recruiter abo...