Sr Specialist Data Architect
We are looking for someone with knowledge with Azure and Data Architect skills, effective communication, ability to understand data structure and with proven experience in data management to join our team in the IT&Digital HUB MX.
Position Snapshot:
- Type of Contract: Full time
- Function and Stream: IT – DCC
- Type of work: Hybrid
- Work Language: Fluent Business English
The role:
What you’ll do:
- Define process to analyze, and map NUSA-specific data hierarchies across functions, customers, and systems.
- Collaborate with Data Management Leads to ensure the model and lexicon of the data assets meets users’ needs
- Define sources and calculations for metrics and KPIs. Lead metrics standardization in functions, reconciling data as necessary
- Work with the Business to align hierarchy with corresponding business rules, requirements, and data transformations
- Define and manage an exception process to manage hierarchies and cross functional metrics
- Develop and maintain data models
- Partner with IT to develop data architecture standards, and guidelines for processing and persisting data on prim and cloud
- Partner with IT to ensure appropriate standardization, categorization, and hierarchy is followed
We offer you:
We offer more than just a job. We put people first and inspire you to become the best version of yourself.
- Great benefits including salary and a comprehensive social benefits package. We have one of the best pension plans on the market, as well as flexible remuneration with tax advantages: health insurance, restaurant card, mobility plan, etc.
- Personal and professional growth through ongoing training and constant career opportunities reflecting our conviction that people are our most important asset.
- Hybrid working environment with flexible working scheme. Our state-of-the-art campus is dog friendly and equipped with a medical center, canteen and areas to co-create network and chill!
- Recreation activities such as yoga, Zumba, etc. and a wide range of volunteering activities.
Join our global team of IT professionals at Nestlé, driving daily innovation and leveraging cutting-edge technologies to address digital opportunities. Grow professionally in a dynamic and impactful environment, collaborating with business partners worldwide to deliver integrated technology solutions!
What will make you a great fit?
- Undergraduate Degree in Computer Science, Engineering, Mathematics, Statistics, Business or a similar field or equivalent experience
- 3 years of experience with data architecture and ERP tools, preferably in consumer products.
- Ability to apply understanding of data structure and cross-functional hierarchies to address the needs of the business.
- Ability to communicate data hierarchy management procedures and rules to non-technical stakeholders.
- Knowledge of and experience with any ERP tools and systems e.g. SAP, APO, and reporting tools e.g. Azure, BW
- Solid organizational skills including attention to detail and multitasking skills
Not a 100% match? No worries! Nestlé supports your personal growth with customized development solutions.
What you can expect in your application journey:
1. Hit apply and enter our job portal.
2. Submit your application with your CV.
3. We will contact relevant applicants.
4. Interviews (HR, Hiring team and stakeholders).
5. Feedback.
6. We make an offer.
7. Location dependent checks and pre-onboarding.
8. First working day.
About Nestlé:
We are Nestlé, the largest food and beverage company with brands including KitKat, Nescafé, Maggi, Purina, among many others. We are approximately 275,000 employees strong, motivated by the purpose of enhancing the quality of life and contributing to a healthier future. Our values are rooted in respect: respect for ourselves, respect for others, respect for diversity and respect for our future. With more than CHF 94.4 billion sales in 2022, we have an expansive presence, with 344 factories in 77 countries. Want to learn more? Visit us at www.nestle.com.
We encourage the diversity of applicants across gender, age, ethnicity, nationality, sexual orientation, social background, religion or belief and disability.
