Data Automation Architect

1 month ago

Edison, United States Wakefern Food Corp. Full time

About Wakefern

Wakefern Food Corp. is the largest retailer-owned cooperative in the United States and supports its co-operative members' retail operations, trading under the ShopRite®, Price Rite®, The Fresh Grocer®, Dearborn Markets®, and Gourmet Garage® banners.


Employing an innovative approach to wholesale business services, Wakefern focuses on helping the independent retailer compete in a big business world. Providing the tools entrepreneurs need to stay a step ahead of the competition, Wakefern’s co-operative members benefit from the company’s extensive portfolio of services, including innovative technology, private label development, and best-in-class procurement practices.


Summary

The ideal candidate will have a strong background in designing, developing, and implementing complex projects, with focus on automating data processes and driving efficiency within the organization. This role requires a close collaboration with application developers, data engineers, data analysts, data scientists to ensure seamless data integration and automation across various platforms. The Data Automation Engineer is responsible for identifying opportunities to automate repetitive data processes, reduce manual intervention, and improve overall data accessibility.

Essential Functions

  • Participate in the development life cycle (requirements definition, project approval, design, development, and implementation) and maintenance of the systems.
  • Implement and enforce data quality and governance standards to ensure the accuracy and consistency.
  • Provide input for project plans and timelines to align with business objectives.
  • Monitor project progress, identify risks, and implement mitigation strategies.
  • Work with cross-functional teams and ensure effective communication and collaboration.
  • Provide regular updates to the management team.
  • Follow the standards and procedures according to Architecture Review Board best practices, revising standards and procedures as requirements change and technological advancements are incorporated into the >tech_ structure.
  • Communicates and promotes the code of ethics and business conduct.
  • Ensures completion of required company compliance training programs.
  • Is trained – either through formal education or through experience – in software / hardware technologies and development methodologies.
  • Stays current through personal development and professional and industry organizations.


Additional Functions

  • Design, build, and maintain automated data pipelines and ETL processes, ensuring scalability and reliability in data operations.
  • Design and implement data integration solutions to automate data flow between systems and databases.
  • Optimize existing data workflows and processes to improve efficiency and scalability.
  • Designs and develops data automation solutions using various technologies, such as scripting languages, databases, APIs, and cloud services.
  • Ensures the quality, security, and compliance of the data automation solutions and the data sources.
  • Monitors and troubleshoots the data automation solutions, resolving any issues or errors.
  • Provides training and support to the end users of the data automation solutions.
  • Document technical specifications, processes, and procedures related to data automation.


Qualifications

  • A bachelor's degree or higher in computer science, information systems, or a related field.
  • At least 10+ years of related experience.
  • Hands-on experience with cloud data platforms (e.g., Azure Synapse, Google BigQuery, etc.)
  • Strong knowledge and skills in data automation technologies, such as Python, SQL, ETL/ELT tools, Kafka, APIs, cloud data pipelines, etc.
  • Proficiency in Enterprise Service Bus (ESB) platforms, such as Dell Boomi, Workato, SAP BTP, etc.
  • Familiarity with data modeling tools.
  • Familiarity with BI visualization tools such as Tableau, Power BI, Looker, or similar.
  • Proficiency in project management software (e.g., JIRA, Clarizen, etc.)
  • Strong knowledge and skills in data management, data quality, and data governance.
  • Strong communication, collaboration, and problem-solving skills.
  • Ability to work on multiple projects and prioritize tasks effectively.
  • Ability to work independently and in a team environment.
  • Ability to learn new technologies and tools quickly.
  • The ability to handle stressful situations.
  • Highly developed business acuity and acumen.
  • Strong critical thinking and decision-making skills.


Working Conditions & Physical Demands

  • This position requires in person office presence at least 4x a week.

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