Title:  Data Analytics Architect

At Graphic Packaging International, we produce the paper cup that held your coffee this morning, the basket that transported those bottles of craft beer you enjoyed last weekend, and the microwave tray that heated your gourmet meal last night. We’re one of the largest manufacturers of paperboard and paper-based packaging for some of the world’s most recognized brands of food, beverage, foodservice, household, personal care and pet products. Headquartered in Atlanta, Georgia, we are collaborative, diverse, innovative individuals who create inspired packaging while giving back to our communities.

With over 25,000 employees working in more than 130 locations worldwide, we strive to be environmentally responsible in our industry and in the communities where we operate. We are committed to workplace diversity and offer compensation and benefits programs that are among the industry’s best to reward the talented people who make our company successful.

If this sounds like something you would like to be a part of, we’d love to hear from you.

A World of Difference. Made Possible.

Data Analytics Architect – Graphic Packaging International, LLC – Atlanta, GA.   

Job Duties: Architect, design, and implement advanced analytics capabilities. Build, expand and optimize data and data pipeline architecture, as well as optimize data flow. Support software developers, database architects, data analysts and data scientists on data initiatives and ensure data delivery architecture is consistent throughout ongoing projects. Work with large datasets from Enterprise systems. Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources like SAP, Semi-structured data etc. using SQL and AZURE ‘big data’ technologies. Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics. Work with Cross functional teams to assist with data-related technical issues and support their data infrastructure needs. Continuously improve/optimize the in-production systems.

Minimum Requirements: Bachelor’s degree in Computer Science, Computer Information Systems, or a related field. Must have 8 years of experience as a Sr. Software Engineer, Software Developer, Technical Architect, IT Consultant, Analyst, or a related occupation in the IT industry. Must have 5 years of experience designing and implementing high performance data ingestion & transformation pipelines from multiple sources using Databricks and ADF Azure Pipelines. Must have 3 years of experience with Optimization and Tuning. Must have 3 years of experience with Azure Synapse, IOT hub, Event hub, and Streaming analytics. Must have 3 years of experience with Github or other code repositories. Must have any demonstrated experience in/with: Domain and Data Modeling with SAP/SAP BW; developing scalable and re-usable frameworks for ingestion and transformation of large data sets; building data lakes & data warehouses to support operational intelligence and business intelligence; and Azure Cloud Architecture. Must have any programming experience with backend languages such as Python and SQL as well as any experience with Orchestration tools like Airflow. Must have any experience integrating end-to-end data pipelines to take data from source systems to target data repositories while ensuring the quality and consistency of data is always maintained. Must be able to work a hybrid work schedule.    

Must have legal authority to work in the U.S. EEOE.

How to Apply: Send resumes to Cory Francis, HR Business Partner, Graphic Packaging International, LLC, 1500 Riveredge Pkwy NW, Suite 100, Atlanta, GA 30328, or email to immigration@graphicpkg.com. Please reference job title + SN25 in cover letter and/or email subject line.  

Graphic Packaging is an Equal Opportunity Employer. All candidates will be evaluated on the basis of their qualifications for the job in question. We do not base our employment decision on an employee's or applicant's race, color, religion, age, gender or sex (including pregnancy), national origin, ancestry, marital status, sexual orientation, gender identity, genetic identity, genetic information, disability, veteran/military status or any other basis prohibited by local, state, or federal law. Click here to view the Poster, EEO is the Law.

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