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Enterprise Data Systems Architect

2 months ago

Lansdale, United States Greene Tweed Full time

At Greene, Tweed, you'll find the cutting-edge technology, world-class polymer expertise and endless advancement opportunities you'd expect from a multi-national industry leader. You'll find them all in an environment that embraces diversity in people and opinions, moves decision making to the point of impact, and celebrates your success.

If you enjoy continuous learning and are excited about working with and creating technological solutions, explore career opportunities with Greene, Tweed.

Job summary:
The Data Architect will draw from his/her experience of collaborating with cross-functional teams, creating the technical strategy, designing and building advanced data models to meet the growing needs of Data Analytics at Greene, Tweed. As the Data Architect, you will be responsible for analyzing, shaping, and prioritizing functional requirements and designing solutions that consider security, usability, and stability. The incumbent will plan, design, and monitor key characteristics of the analytics platform to help ensure that it complies with enterprise standards and that it performs adequately as additional analytics solutions are implemented.

Specific Responsibilities:
•Work with cross-functional teams to gather analytics requirements, assessing the data that is available in sources such as SAP ERP, SAP MII (MES), Wonderware, Salesforce.com, PLC Machine Data, etc.
•Work with management to develop, maintain and execute upon portfolio of analytics projects.
•Lead the technical design, implementation and lifecycle management of modern analytics tools.
•Establish standards and practices for Greene Tweed for the design and development of data models.
•Coordinate with Data Analysts on best practices and techniques for data visualization and data modeling, partnering to identify future needs and requirements
•Use advanced data modeling and predictive tools/algorithms to support the needs of data analysts.

Required Minimum Qualifications
Education: BS Degree (or higher) in Data Analytics, Data Engineering, Computer Science or related field required.

Skills and Experience:
•10+ years of experience developing data models and database design, including advanced techniques suh as set analysis or stastistical analysis; Preference given to candidates who have worked with Qlik Sense or Qlik View
•5+ years developing in SAP ABAPnecessary.
•Programming skills in R, Python or other advanced predictive algorithm development and usage preferred
•Technical Project Management experience required
•Experience defining business/technical requirements, including the ability to analyze system requirements and implement migration methods for existing data required.
•Proficient at developing, architecting, standardizing and supporting technology platforms using Industry leading BI / Reporting solutions.
•Web development experience using languages such as HTML, CSS, JavaScript, AngularJS, Node.js is a plus
•Hands on experience with SQL required
•Strong communication, presentation, problem-solving, and trouble-shooting skills.
•Ability to develop and manage projects, identify risks and clearly communicate them to project stakeholders, define problem solving and risk mitigation strategies and facilitate conflict resolution.
•Effective written, verbal and graphical communication skills
•Ability to work under pressure/stressful situations in a fast-paced environment
•Ability to travel as needed; up to 15-20% of time (Domestic/International).

Physical Requirements:
Standing Rarely (0-15%)
Sitting Frequently (46-100%)
Lifting Up to 10lbs without assistance
Carrying Up to 10lbs without assistance
Walking Rarely (0-15%)
Hearing Ability to detect noises with or without corrective device(s)
Vision Clarity of vision, with or without corrective lenses

Mental Requirements:
Problem Solving Frequently (46-100%)
Making Decisions Ability to make decisions that have a moderate impact
Supervise Rarely (0-15%)
Interpret Data Frequently (46-100%)
Organize Frequently (46-100%)
Read/Write Frequently (46-100%)
Communication Frequently (46-100%)

Work Environment:
High Temperatures Rarely (0-15%)
Low Temperatures Rarely (0-15%)
Noises Moderate (business office with computers, printers and light office noises)
Fumes Exposure Rarely (0-15%)

Note: This Job Description in no way states or implies that these are the only duties to be performed by the employee occupying this position. Employees will be required to follow any other job-related instructions and to perform any other job-related duties requested by the Supervisor. All requirements are subject to change and updates.

We also provide eligible employees with a competitive benefits package that includes health insurance, flexible spending accounts, health savings account, 401k savings plan, life and disability insurance, tuition assistance and more, to meet the diverse needs of all employees and their family members.

Equal Opportunity Employer:

Greene, Tweed is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, age, physical or mental disability, veteran status, or any other federally protected class.

Drug Free Workplace:

Greene, Tweed is a Drug Free Workplace. Employment is contingent upon successful completion of a pre-employment drug screening and background investigation subject to federal, state, and local laws.

NOTE: Greene, Tweed is not seeking assistance or accepting unsolicited resumes from search firms for employment opportunities, unless they have a written agreement for the position they are contacting us about. Regardless of past practice, all resumes submitted by search firms to any employee at GT without a valid written search agreement in place for that position will be deemed the sole property of Greene, Tweed, and no fee will be paid in the event the candidate is hired by Greene, Tweed as a result of the referral or through other means.