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 Selection: Evaluate and implement new data technologies, tools, and frameworks to optimize data processing and analysis capabilities for performance and cost.
• TCO and Performance Optimization: Establish monitoring capability for data pipeline performance, identify bottlenecks, and implement optimizations to ensure efficient data processing and best value cost trade-offs.
• Backlog Management: Oversee and prioritize data product pipeline backlogs based on business value, technical efficiency, and alignment goals with Data & Analytics strategy and priorities ensuring user stories clearly articulate technical requirements and acceptance criteria.
• Collaboration with Platform Teams: Working closely with data engineers and architects to ensure technical feasibility and efficient implementation of data platform features.
• Communication and Transparency: Develop documentation and artifacts to clearly communicate data platform goals, progress, and challenges to stakeholders through regular updates and presentations. Understand and represent the data and analytics strategy and platform capability in meetings. Socialize key concepts enabling broader understanding and adoption of data platform technology.
• Risk Management and FinOps: Identify potential operational and financial risks. Use Economic Thinking to assess our data processing and use costs and optimizations.
• Agile Practices: Participating in agile ceremonies like sprint planning, backlog grooming, sprint reviews, and retrospectives to effectively manage the product development process.

Who You Are (Basic Qualifications)

• At least 10 years of experience as a technical lead in data architecture and data engineering practices.
• Hands-on expertise in Python, including data engineering libraries, SQL, and other data manipulation languages. Proficiency in applying DevOps practices.
• Proven experience in developing software products that are configuration-driven, automated, and self-healing.
• Proficiency in modern AWS cloud data engineering practices and services (e.g., Spark, Glue, Lambda, Step Functions, S3, Deltalake, RedShift, Snowflake, Elastic Search, DynamoDB, Firehose, Kafka).
• Extensive experience creating and using data architecture and modeling to design and implement efficient data models for data lakes and data products.
• Proven experience in leading and mentoring data engineering teams, with a track record of innovative design and build practices.

What Will Put You Ahead

• Proven experience in designing and implementing data products, architectures, and cloud data processing frameworks using AWS services, with advanced expertise in Python data engineering and Data Vault modeling concepts, along with a strong understanding of software engineering best practices
• Clear understanding of and experience delivering broad, business based, reuseable data products.
• Experience with full software development lifecycle including coding standards, unit testing, CI/CD, multi-environment development.
• Certifications in cloud technologies or data engineering.

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 about the flexibility and detail of our compensation philosophy.

Hiring Philosophy

All Koch companies value diversity of thought, perspectives, aptitudes, experiences, and backgrounds. We are Military Ready and Second Chance employers. Learn more about our hiring philosophy here .

Who We Are

As a Koch company and a leading manufacturer of bath tissue, paper towels, paper-based

packaging, cellulose, specialty fibers, building products and much more, Georgia-Pacific works to meet evolving needs of customers worldwide with quality products. In addition to the products we make, we operate one of the largest recycling businesses. Our more than 30, 000 employees in over 150 locations are empowered to innovate every day - to make everyday products even better.

At Koch, employees are empowered to do what they do best to make life better. Learn how our business philosophy helps employees unleash their potential while creating value for themselves and the company.

Our Benefits

Our goal is for each employee, and their families, to live fulfilling and healthy lives. We provide essential resources and support to build and maintain physical, financial, and emotional strength - focusing on overall wellbeing so you can focus on what matters most. Our benefits plan includes - medical, dental, vision, flexible spending and health savings accounts, life insurance, ADD, disability, retirement, paid vacation/time off, educational assistance, and may also include infertility assistance, paid parental leave and adoption assistance. Specific eligibility criteria is set by the applicable Summary Plan Description, policy or guideline and benefits may vary by geographic region. If you have questions on what benefits apply to you, please speak to your recruiter.

Additionally, everyone has individual work and personal needs. We seek to enable the best work environment that helps you and the business work together to produce superior results.

Equal Opportunities

Equal Opportunity Employer, including disability and protected veteran status. Except where prohibited by state law, some offers of employment are conditioned upon successfully passing a drug test. This employer uses E-Verify. Please click here for additional information. (For Illinois E-Verify information click here, aquí, or tu ).