Firm Name:  Costco

Numbers of Jobs: Data Architect

Education Need: Graduate

Job Hours: 8

Payment: $20-$30/Hour

What's Job City: Richmond

Job Details:

• The company in charge of its technological future is Costco Wholesale, the third-largest retailer in the world, which operates in fourteen different nations. We maintain a supportive, family-oriented work environment where employees can thrive despite our size and quick international expansion. Look no further than Costco's ranking of seventh on Forbes' list of the world's best employers for confirmation.
•  The culture of Costco is the secret to its success in this setting, which is unlike anything else in the high-tech world. The value that Costco places on its employees is amply documented in articles from a variety of publishers, including Bloomberg and Forbes. Our members and staff come first and foremost. With numerous awards to its credit, Costco is well known for its generosity and dedication to the local community. The company supports a variety of charitable giving opportunities to motivate its employees to actively volunteer.
•  Join the community of Costco Wholesale IT professionals today. Costco IT is undergoing exciting transformational projects in a dynamic, fast-paced environment. As we develop the next-generation retail setting, you will be surrounded by devoted and highly skilled personnel.
•  With the long-term objective of rising to the position of strategic data architect, the main objective of this position is to strengthen data modeling skills. To advance the maturity of the curated data, data pipelines, data quality, and data governance to support data democratization, this position will supervise the development and maintenance of the data architecture. It will also work with a team of data architects to this end. The ideal applicant for this position will be eager to pick up new skills in data modeling and have the potential to advance over time to become a mentor and lead data architect.
•  The process of determining, evaluating, expressing, and communicating data requirements in a specific format known as the data model is known as data modeling and design. To represent and aid an organization in understanding its data assets, data models use the fundamental building blocks of entities, relationships, and attributes. These stand for the core principles of the business, such as those concerning clients, merchandise, personnel, and other topics.
•  If you want to be a part of one of the BEST companies "to work for" in the world, just fill out an application and let your career be completely reimagined.

 ROLE.

•  serves as the domain or subject area expert for Costco business data (i. e. Stock, purchases, special offers, etc. ).
•  creates certified datasets for data consumption (i. e. Reporting, APIs, data science, and so forth. ).
•  establishes architectural guidelines and enterprise data strategies to maintain the quality, performance, and compliance of certified data sets.
•  creates documentation for integration that describes the information flow from the source systems to the consumption layer (i. e. Source to Target Maps.
•  helps the delivery team's data stewards collect and store business metadata (i. e. definitions).
•  examines present data architectures to boost data velocity.
•  creates new data products in collaboration with platform engineers, data scientists, database developers, and data engineers.
•  keeps up-to-date on the technologies, architectures, and methodologies employed in the data industry.
•  Records the outcomes of the data quality analysis and makes recommendations.
•  contributes to the development and delivery of capabilities for tracking operational business performance.
•  analyzes and transforms business requirements into conceptual data models that are fully developed logically.
•  makes logical, physical, and other types of data models.
•  aids in the team's conversion of business requirements into durable architectural solutions.
•  develops and maintains standards-based architectures for data services.
•  helps the data engineering and data platform teams implement new technologies and troubleshoot current ones to continuously improve performance.
•  aids in the definition of the data layer integration, storage, replication, and transformation protocols for technical solutions supported by enterprise architecture.
•  plays a part in the provision of tools for operationally monitoring the performance of the business.
•  Database developers, data engineers, and data scientists work together to produce new data products.

 REQUIRED.

•  comprehensive familiarity with relational, NoSQL, Graph, and data warehousing databases as well as Data Lake.
•  strong interest in learning about data modeling and architecture principles.
•  Utilizing Erwin and PowerDesigner data modeling software.
•  understanding of cloud databases.

 Recommended.

•  experience in data architecture with large, complex datasets for at least one year.
•  working for at least a year with big data technologies like ADLS, Azure Databricks, Spark, Azure Synapse, and Cosmos DB.
•  proficiency with other standards, guidelines, and techniques, as well as the data modeling tool ERWIN.
•  working knowledge of building and improving performance-optimized data models.
•  understanding of building the architecture from a strong technical foundation and creating a detailed overview of the business data requirements.
•  Profit from state-of-the-art data solutions and architecture developed with agile software development methodologies.
•  getting to know the retail industry.
•  track record of successfully leading software development teams.
•  a powerful oral and written communication skill.

 Required Documents.

•  Interest letter.
•  a curriculum vitae.