Azure Data Architect

Detalles de la oferta

At DuPont, we are working on things that matter; whether it's providing clean water to more than a billion people on the planet, producing materials that are essential in everyday technology devices from smartphones to electric vehicles, or protecting workers around the world.
If you would like to be a part of a premier multi-industrial company that is delivering sustainable solutions that bring real purpose and value, of a company with collaborative spirit because it believes that we work best when we work together as a team and values the diversity of thought, then DuPont is the company for you!
We are excited to share that on May 22, 2024, DuPont announced plans to separate into three industry-leading, independent publicly traded companies. This strategic move will create focused businesses with distinct investment profiles. We believe the proposed separations will create opportunities for all three future companies to better serve their customers and unlock long-term value for stakeholders. This process is expected to take 18-24 months from the date of announcement to complete. We are committed to supporting our employees throughout this transition and ensuring a smooth and successful separation process. We look forward to welcoming new talent who are interested in contributing to the continued success and growth of our evolving organization.
Job Summary: We are looking for a highly experienced Data Architect specializing in Azure data services to join our team. In this role, you will be responsible for designing, developing, and implementing strategic solutions for our clients using Azure data services like Azure Data Lake, Azure Data Factory (ADF), and continuous integration/continuous deployment (CI/CD) processes.
Responsibilities: Define and document standards for Data Architecture, Data Model, Data Products, Data Catalogs.Define data governance processes to ensure that data is reliable, accurate and well-managed; Create data security and privacy policies and procedures.Create and maintain data architecture models and documents for Azure data services.Design, configure, and implement Azure Data Lake to store, process, and analyze large-scale data sets.Develop and implement ETL processes using Azure Data Factory (ADF) for data integration between systems.Design and implement CI/CD processes for Azure data services using Azure DevOps and related tools.Provide technical guidance and training to other team members on Azure data services.Collaborate with Azure Solution Architects, Data Scientists, and Business Analysts to design, develop, and deploy data solutions that meet business needs.Ensure that Azure data services adhere to established security and compliance standards.Continuously assess and evaluate new technologies and techniques to improve Azure data services and architecture.Required Experience and Qualifications: Bachelor's degree in Computer Science, Information Systems, or related field.5+ years of experience in data architecture or related field.Deep knowledge of Azure data services such as Azure Data Lake, Azure Data Factory, and related CI/CD tools.Proficiency in data modeling, data warehousing, ETL processes, and data analytics.Strong problem-solving and troubleshooting skills.Excellent communication and collaboration skills.Ability to lead and mentor other team members.Good to Have: Microsoft Certification.Experience with big data platforms and technologies like Hadoop, Spark, and NoSQL databases.Knowledge of machine learning and artificial intelligence technologies and applications.SAP functional and BW/HANA technical architecture knowledge.DuPont is an equal opportunity employer. Qualified applicants will be considered without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability or any other protected class. If you need a reasonable accommodation to search or apply for a position, please visit our Accessibility Page for Contact Information.

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Salario Nominal: A convenir

Fuente: Jobleads

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