Avery Dennison Data Architect in Dallas, Texas
Avery Dennison is Everywhere You Look!Avery Dennison (NYSE: AVY) is a global materials science company specializing in the design and manufacture of a wide variety of labeling and functional materials. The company’s products, which are used in nearly every major industry, include pressure-sensitive materials for labels and graphic applications; tapes and other bonding solutions for industrial, medical, and retail applications; tags, labels and embellishments for apparel; and radio frequency identification (RFID) solutions serving retail apparel and other markets. Headquartered in Glendale, California, the company employs more than 30,000 employees in more than 50 countries. Reported sales in 2020 were $7 billion. Learn more at www.averydennison.com.
ABOUT YOUR ROLE:
You will be joining Avery’s newly stood up Digital Data Factory (DFactory), a centralized team responsible for planning and executing the digital roadmap within Avery’s RBIS division. The DFactory will be filled with digital talent that will be working on the most important initiatives within RBIS to increase operational efficiency and unlock value for our customers, in close collaboration with internal resources and external partners.
You will have an important voice in the enterprise’s architecture by providing technical perspective and resolving architectural issues that emerge during integration. You will also design, develop, and support conceptual/logical/physical data models for analytics solutions. You will be a mentor to the development and business teams by assisting in and/or leading the development and implementation of data collection systems as necessary and providing input on data architecture design and requirements. You will also review projects for compliance with target architecture.
You will also handle both strategic and tactical aspects of this work. The strategic portion requires defining data architectures that account for performance, scalability, and data reliability. The tactical portion involves hands-on leadership, which at times will be achieved through actual implementation of our future state architecture.
YOUR RESPONSIBILITIES WILL INCLUDE:
Collaborating with engineering, product management, and operations to understand the current data landscape
Identifying new technologies that can be utilized to improve data reliability, quality, scalability, performance, and maintainability
Designing the go-forward data storage, mapping existing data to this new architecture, building patterns to improve data quality and resolving existing and future data management issues
Ensuring the technical feasibility of the data architecture you’re defining
Overseeing the execution of the data architecture from a technical perspective
Resolving roadblocks and escalating to management when appropriate
Supporting quality control practices to validate the data resident in the go forward architecture
Seeking opportunities for automation
Guiding and mentoring junior team members
Deploying regulatory and company secret data to production
Establishing governance and security policies for Data Science
WHAT WE WILL BE LOOKING FOR IN YOU:
A highly motivated self-starter with a high attention to detail and strong problem-solving skills
Ability to be a leader among the engineering team
Ability to translate business requirements into data structures
A track record of communicating at all levels of the organization and driving implementation of the future state architecture through collaboration with teams across multiple departments
Bachelor's in Computer Science or equivalent experience
Manufacturing 4.0 and IoT experience preferred
Familiarity with data visualization tools (Qlik) is a plus
10+ years in being involved in building APIs, microservices and high throughput systems
10+ years of enterprise data architecture experience with data intensive solutions
10+ years understanding database structures and hands-on experience using SQL Server, Oracle, MongoDB, AWS databases
8+ years with distributed data management, data storage
5+ years in processing and navigating big data challenges
5+ years hands-on experience designing data platforms with master data management, preferably using Reltio, machine learning, data science, and data pipelines
5+ years experience with data modeling, data warehousing, data replication, & ETL tools
4+ years of cloud experience, preferably using Microsoft Azure
4+ years working with data mining, data governance and data science environments
2+ years working with bots and NLP to extract content from various web sites
2+ years with robotic process automation is desired, though not required
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or other protected status. EEOE/M/F/Vet/Disabled. All your information will be kept confidential according to EEO guidelines.
All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status or other protected status. EEOE/M/F/Vet/Disabled