Hiring Organization :- Costco

Post Name :- Data Architect

Qualifications:- Graduation

Industry :- Private

Employment Type :- Full Time

Work Hours :- 8

Salary:-  $20 To $30 /Hour

Locations :- Connecticut ( USA )

Job Details:

The technical future of Costco Wholesale, the third largest retailer in the world with wholesale operations in fourteen nations, is the responsibility of Costco IT. We continue to provide a family-like, centered-on-employee environment in which our employees thrive and succeed despite our size and rapid international expansion. Costco comes in seventh place among Forbes' "World's Best Employers" as evidence.

Costco's culture is the key to its success, and this is an environment unlike any other in the high-tech industry. The importance Costco places on its employees is well-documented in articles from Bloomberg and Forbes, among others. Our members and employees come first. Costco has won numerous awards for its philanthropy and is well-known for its generosity and community service. By sponsoring numerous opportunities to assist others, the company and its workers actively participate in volunteerism.

Come be a part of Costco Wholesale IT. Costco IT is a fast-paced, dynamic workplace engaged in exciting transformation initiatives. We are creating a brand-new retail environment where you will be surrounded by highly skilled and dedicated staff members.

With a long-term goal of becoming a strategic data architect at a higher level, this position focuses on developing data modeling abilities. In order to support data democratization, this position will lead the development and upkeep of data architecture and collaborate with a team of data architects to advance the maturity of curated data, data pipelines, data quality, and data governance. The ideal candidate for this position will be eager to improve their data modeling abilities and long-term development as a mentor and lead data architect.

The process of finding, evaluating, representing, and communicating data requirements in a precise form known as the data model is referred to as data modeling and design. Through fundamental building blocks like entities, relationships, and attributes, data models show and make it possible for an organization to comprehend its data assets. Customer, product, employee, and other central business concepts are all represented here.

• Simply submit your application and allow your career to be reimagined if you want to be a part of one of the world's "best to work for" companies.
• Performs the role of subject matter expert in Costco business data domains or subject areas (such as sales, inventory, promotions, and so on).
•  Defines certified datasets for data consumption (such as APIs, Reporting, and Data Science).
•  Creates the architectural standards and enterprise data strategy for ensuring that certified data sets maintain their performance, quality, data security, and compliance.
• ●      Creates joining documentation that records how information ought to move from source frameworks to utilization layer (for example Source to Target Mappings).
•  Helps Data Stewards on the Delivery Team(s) capture and document business metadata (also known as definitions)  Looks at existing data architectures to increase data velocity.
•  Come up with concepts for new data products with Database Developers, Data Engineers, Data Scientists, and Platform Engineers.
•  Maintains current knowledge of data-related technology, architecture, and methodology trends.
•  Documents the findings of data quality analysis and offers suggestions.
• Participates in the production of capabilities for operational business performance monitoring.
•  Converts business requirements into conceptual and fully detailed logical data models through analysis and translation.
•  Creates logical, physical, and other types of data models.
•  Provides guidance to the team on converting business requirements into long-term architecture solutions.
•  Creates and maintains data services reference architectures.
•  Collaborates with the data platform and engineering teams to troubleshoot and introduce new technologies for ongoing performance enhancement.
•  Contributes to the definition of data integration, storage, replication, and transformation protocols for the data layer of enterprise architecture-supported technical solutions.
• Participates in the development of capabilities for operational business performance monitoring.
• ●      Teams up thoughts with information base designers, information specialists, and information researchers to create new information items.

Strong comprehension of database storage concepts (data warehousing, data lakes, relational databases, NoSQL, and graphs) is required.

 A strong desire to acquire knowledge of data modeling and architecture concepts as well as best practices.

 Some familiarity with data modeling software (PowerDesigner, Erwin)

Experience with cloud databases and systems