The Data Solution Architect will lead data engineering projects, develop data models, ensure data integrity, and support analytics using diverse technologies.
Job Description
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Leverage analysis design techniques to solve business problems using information technology to operationalize data and analytical model to drive long-term business results.
How you will contribute
You will:
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
More about this role
What extra ingredients you will bring:
Education / Certifications: Bachelor's degree in a related field. BS Computer Science, Information Systems, etc.
Job specific requirements:
1+ years Data Engineering/Modeling
3+ years Database Design
Work schedule: Remote worker located in New Jersey, Wilkes Barre, PA, Chicago.
Salary and Benefits: The base salary range for this position is $83,800 - $115,225; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results and eligibility to participate in our long-term incentive program. In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.
No Relocation support available
Business Unit Summary
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.
For more information about your Federal rights, please see eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal
Job Type
Regular
Data Science
Analytics & Data Science
Are You Ready to Make It Happen at Mondelēz International?
Join our Mission to Lead the Future of Snacking. Make It With Pride.
Leverage analysis design techniques to solve business problems using information technology to operationalize data and analytical model to drive long-term business results.
How you will contribute
You will:
- Partner with MDS in providing accessibility, retrievability, security and protection of data in an ethical manner.
- Lead business requirement/ /continuous improvement sessions to support the business to understand requirements for analytical projects and develop necessary requirement documents to support their development.
- Develop UAT (User Acceptance Testing) and SIT (System Integration Testing) test cases for based off data product requirements .
- Support for building, testing, and maintaining of transports/data pipelines and retrieving applicable data sets for specific use cases.
- Support building, testing, and maintaining of data models with the flexibility to change when business requirements change, while also reconciling multiple logical source models into a single, logically consistent model.
- Analyze the structure, format, and reliability of new and existing data sources, considering factors such as data integrity, completeness, accuracy, and drive continuous improvement.
- Participate in data governance processes to ensure data is properly maintained and document for reusability by the business
- Understand data and metadata to support consistency of information retrieval, combination, analysis, pattern recognition and interpretation.
What you will bring
A desire to drive your future and accelerate your career and the following experience and knowledge:
- Understanding of Data Engineering concepts within a business setting, including working with multiple systems such as SAP, internal and external data sources. Experience in developing, enhancing, testing, and maintaining data products.
- Experience in using diverse range of languages and tools, including scripting languages, for data extraction, transformation, storage, processing, and integration.
- Analyze business requirements as a guide for data modeling and apply data analysis, design, modeling, and quality assurance techniques, continuous improvement, based on a detailed understanding of business processes, to establish, modify or maintain data structures and associated components (entity descriptions, relationship descriptions, attribute definitions).
- Ability to simplify complex problems and effectively communicating technical concepts to a diverse audience.
More about this role
What extra ingredients you will bring:
- Cloud computing technologies (Azure, GCP)
- Programming Languages: SQL, Python, PySpark (Apache Spark), DAX, etc.
- Analytics platforms: Databricks, Google Cloud Dataproc, etc.
- Experience with CI/CD, DevOps, and DataOps techniques.
- Experience with ETL, Data pipelines and architecture
- Technical Documentation
- Experience in data modelling and wrangling techniques and tools i.e., Star Schema, Snowflake Schema ,Data vault, Alteryx, PBI, Tableau, etc.
- Data quality and profiling methods
Education / Certifications: Bachelor's degree in a related field. BS Computer Science, Information Systems, etc.
Job specific requirements:
1+ years Data Engineering/Modeling
3+ years Database Design
Work schedule: Remote worker located in New Jersey, Wilkes Barre, PA, Chicago.
Salary and Benefits: The base salary range for this position is $83,800 - $115,225; the exact salary depends on several factors such as experience, skills, education, and budget. In addition to base salary, this position is eligible for participation in a highly competitive bonus program with possibility for overachievement based on performance and company results and eligibility to participate in our long-term incentive program. In addition, Mondelez International offers the following benefits: health insurance, wellness and family support programs, life and disability insurance, retirement savings plans, paid leave programs, education related programs, paid holidays and vacation time. Some of these benefits have eligibility requirements. Many of these benefits are subsidized or fully paid for by the company.
No Relocation support available
Business Unit Summary
The United States is the largest market in the Mondelēz International family with a significant employee and manufacturing footprint. Here, weproduce our well-loved household favorites to provide our consumers with the right snack, at the right moment, made the right way. We have corporate offices, sales, manufacturing and distribution locations throughout the U.S. to ensure our iconic brands-including Oreo and Chips Ahoy! cookies, Ritz, Wheat Thins and Triscuit crackers, and Swedish Fish and Sour Patch Kids confectionery products -are close at hand for our consumers across the country.
Mondelēz Global LLC is an Equal Opportunity/Affirmative Action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected Veteran status, sexual orientation, gender identity, gender expression, genetic information, or any other characteristic protected by law. Applicants who require accommodation to participate in the job application process may contact 847-943-5460 for assistance.
For more information about your Federal rights, please see eeopost.pdf; EEO is the Law Poster Supplement; Pay Transparency Nondiscrimination Provision; Know Your Rights: Workplace Discrimination is Illegal
Job Type
Regular
Data Science
Analytics & Data Science
Top Skills
Alteryx
Azure
Ci/Cd
Databricks
Dataops
Dax
DevOps
GCP
Google Cloud Dataproc
Pbi
Pyspark
Python
SQL
Tableau
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