FreshRemote.Work

Data Solution Architect

Remote Worker - Pennsylvania, USA, United States

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:

  • 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.​

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

The base salary range for this position is $83,800 to $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.

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, we produce 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 Apply

Job Profile

Regions

North America

Countries

United States

Restrictions

Fully remote No relocation No relocation support No relocation support available

Benefits/Perks

Bonus potential Bonus program Career growth Competitive bonus program Disability Insurance Family support Family support programs Flexibility Fully remote Health insurance Iconic brands Paid holidays Paid leave Remote work Retirement savings Retirement savings plans Vacation time

Tasks
  • Analyze data sources
  • Build and maintain data pipelines
  • Collaborate on analytical projects
  • Develop data models
  • Document technical processes
  • Drive continuous improvement
  • Optimize data retrieval
  • Support data governance
  • Support data security and protection
  • Test data products
Skills

Alteryx Analytical Analytics Analytics Platforms Apache Spark Azure Business Process Understanding Business requirements analysis CI/CD Cloud Computing Computer Science Continuous Improvement Data analysis Data Architecture Databricks Data engineering Data Governance Data integrity Data Modeling DataOps Data Pipelines Data Protection Data Quality Data Retrieval Data Science Data Security Data source analysis Data Structure Design Data Structures Data Vault Data Wrangling DAX DevOps Distribution ETL Flexibility GCP Google Cloud Google Cloud Dataproc Information systems Integration Logical data modeling Metadata Management Modeling Power BI Profiling Programming PySpark Python Sales SAP Security Snowflake Snowflake Schema Spark SQL Star Schema System integration testing Tableau Technical Documentation UAT testing

Experience

1 years

Education

Bachelor's degree B.S. in Computer Science B.S. in information systems Business Computer Science Data Science Information Technology Related Field

Timezones

America/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9