At Koch Industries, we offer opportunities for career growth at one of the largest, financially stable companies in the world, responsibilities and rewards based on contributions, and competitive Pay and Benefits. Koch companies employ more 120,000 people across 60 countries, and include companies such as Georgia-Pacific, Molex, INVISTA, Guardian Industries, and Flint Hills Resources.
GP is seeking an experienced hands on Solution Architect to lead the development, implementation and on-going governance of our future Enterprise Data Lake anddata analytics architectureand related platforms. This role will be a member of the GP Enterprise Data and Advanced Analytics team that provides enablement for advanced analytics throughout GP by efficient ingest, storage and consum0ption of data both manufacturing and commercial as well enables data science model management, deployment and monitoring for various customer groups.
What You Will Do In Your Role
Provide technical leadership for data analytics architecture and platform decisions for the enterprise data and analytics team.
Collaborate with technology and business resources to understand the company's data environment, analytics business opportunities and overall analytics processing requirements.
Develop and implement a future-state data analytics architecture and platform standards-roadmaps for both the back-end data processing and the front-end data visualization/statistical components.
Leverage public cloud and open standards technologies in architecting future data and analytics platforms
Partner with Enterprise Architecture team to implement new data and analytics platforms especially those utilizing AWS technologies such as EMR, Redshift, Kinesis and associated technologies.
Implement real time streaming, batch and near real time data movement design patterns, lead a team of engineers in best practices in ELT and data storage.
Work with Data science and data engineering teams to experiment and prove out new technologies enabling new capabilities.
Provide guidance to data scientists in efficient model creation, deployment and management. Participate in projects across the business and IT team in platform evaluations as well software selection process.
The Experience You Will Bring
5+ years of experience planning, building or running enterprise-scale data analytics solutions.
Experience using open source technologies like Hadoop, Hive, Spark, MapReduce, etc.
Experience using cloud platforms like AWS to build analytics solutions.
What Will Put You Ahead
Experience with data visualization and statistical tools like Tableau, Qlik, PowerBI, SAS, R.
Experience with sensor/streaming type data (IoT) within an automated manufacturing environment.
Knowledge of time series of databases.
Amazon AWS stack experience using AWS Serverless services, EMR, Kinesis, Athena, Redshift, Redis 2021 , etc.
Salary and Benefits Commensurate with Experience. Equal Opportunity Employer. Except where prohibited by state law, all offers of employment are conditioned upon successfully passing a drug test.