Lead Data Product Engineer

Your Job

Georgia-Pacific (GP) is offering an exciting opportunity for a Lead Data Product Engineer, Data and Analytic Platforms and Products, a lead technical role, who will design, build, and manage complex data pipelines and infrastructure to create scalable, reuseable data product, while collaborating closely with data product leads, data modelers, data platform engineers, and architects to ensure data products meet our GP data strategy, align to business objectives, promote data governance, data quality, and accessibility standards; essentially, oversee the entire data product development lifecycle, from conception to deployment, while mentoring junior engineers and driving innovation within the data engineering teams.

This Lead Data Product Engineer plays a pivotal role in the GP Data Strategy helping to deliver continuous value to the GP organization.

LOCATION: ATLANTA, GA (HYBRID)

Our Team

The GP Data & Analytics team is focused on transforming how our business works by enabling more informed decisions faster across all our businesses and capabilities.

Join our team and help us drive the transformation!

What You Will Do



* Principle Based Management: Promote and work within a framework to align our platform decisions and work efforts based on our Principle Based Management culture.

Foster a vision based on value opportunities, and a culture of collaboration, innovation, and continuous improvement


* Data Pipeline Architecture: Design, implement, and maintain robust data pipelines for data ingest, transformation, and loading in the creation of reuseable data products, ensuring data integrity and scalability.


* Data Product Development: Lead the design and data architecture of data products, aligned to business process areas and data domains to facilitate broad data reusability across various different use cases including BI reporting, visualizations, dashboards, AI/ML, API, custom analytics solution needs.

Lead teams in data product best practices, standards, and data prep for use in traditional and advanced use cases.


* Team Leadership: Mentor and guide junior data engineers, creating and sharing design principals, assigning tasks, reviewing code, and fostering a collaborative team environment.


* Stakeholder Management: Collaborate across Data and Analytics and business teams including, data products leads, portfolio leaders, product owners, delivery leads, architects, platform engineers, data analysts, and business leaders to understand data requirements, translate business needs into technical solutions, and communicate data insights.


* Data Quality Assurance: Establish which enforce data quality metrics and standards, including data validation checks and cleansing processes to maintain data accuracy.


* Data Governance: Contribute to the development and implementation of data governance policies while ensuring data processing capability to ensure data security and compliance.


* Technology Se...