Data Architect

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Fecha: 9/01/2023

Ubicación: El Salto, Jalisco, MX

Empresa: The Hershey Company

DATA ARCHITECT II

 

Summary

The Hershey Data & Technology team is looking for a Lead Data Architect to design and develop conceptual, logical, and physical data models by providing oversight, governance, and curation needs of enterprise data and analytical platforms. This role will work closely with business and enterprise data teams to understand project needs/requirements, establish reusable patterns and architectures that support an interconnected and evolving data landscape. We are looking for an experienced Cloud Data Architect who can help us keep evolving towards data-driven decision making and empower our vision.

 

Minimum Requirements

  • Bachelor’s degree with a Science, Technology, Engineering or Math focus. Master’s degree or advanced certification a plus.
  • 3+ years of experience participating in Data Architecture activities in a cloud environment
  • 5+ years of experience participating in Data Engineering projects developing ETL/ELT processes in a cloud environment
  • Experience in the following:
    • Working with business owners to define and deliver key performance indicators within data and analytical solutions
    • Leading a project team or project function to deliver a large-scale cloud enterprise data.
    • Data architecture within an enterprise environment using industry standard guiding principles and practices.
    • Public and private cloud solutions, including building and maintaining a data ecosystem.
  • Experience working in cloud environments (AWS, Azure) and with Data Lake environments in big data scale, Azure Data Factory. Specific experience in Azure is a plus
  • Fluent in English
  • Strategic thinker with holistic vision, specific focus on identifying opportunities for automating existing manual processes to drive key business performance
  • Excellent written and verbal communication skills, interpersonal and collaborative skills and the ability to communicate complex technical topics with business management
  • Experience with technologies such as BODS, SSIS, SQL.
  • Experience in databases: Structured/Unstructured, NoSQL, Dimensional modeling, Data Warehouse, Data Integration, ETLs
  • Experience leading internal or external resources working remotely
  • Data science experience is a plus
  • Experience with agile methodologies
  • Proactive attitude
  • Good communication skills and teamwork

 

Preferred Requirements:

  • Master’s degree or advanced certification a plus
    • Experience in Scripting and programming languages

 

Responsibilities                   

  • Engaging with business and translating business needs and opportunities

• Developing strategic frameworks and capability roadmaps and identifying potential technology solutions.

• Develop architecture patterns for data modeling, design, and implementation to meet stated requirements for metadata management, operational data stores and ETL / ELT for cloud computing environments.

• Collaborate with stakeholders to drive transformational analytics and transform data assets into business-driven solutions.

• Review the data lineage, govern growth and usage of data in a highly agile development environment in compliance with enterprise level architecture standards.

• Collaborate closely with the Data Governance organization to ensure an optimal integration of data sources

• Lead to build the Hershey’s analytical eco-system by modelling data from source systems, integrated layer and data products using relational and big data technologies

• Lead business requirements discussions with internal customers to implement analytic solutions.

• Collaborate with other Data owners to craft analytical and reporting solutions using approved technologies:

• Help business to migrate from legacy solutions to new approved technology stacks

• Provide knowledge/experience to advice on appropriate data concept options suited for the business capability to be delivered.

• Try new things and prove the value of your own ideas and innovations.

• Efficient manage the balance between business partners’ requirements on hand and long-term strategy

• Drive continuous process improvement and innovation

 

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