Senior Data Architect

3 weeks ago

San Jose, United States B. I. R. Solutions, LLC Full time

Senior Data Architect


Experience Level: Need very Experience.

Client: Large Semiconductor Company


Number of positions:1

Duration: 6 to 9 Months

Work Mode: Onsite

Location: San Jose, California

Terms: C2C (Corp-to-Corp)

Please apply if you have relevant real-time experience. Background and employment verification will be conducted.

Interview Process: There will be three rounds of technical interviews via video call, including live coding scenarios.

If you are interested, please send your resume to hr@birsolutions.com.


Job Description

Develops and owns end to end technical solutioning & architecting the data and analytics architecture as the designated technical expert, provides thought leadership on technical architecture and data modelling, and partners with cross functional Foundry business stakeholders. Designs PLM data management architectures, database systems, data models and other data architecture components, defines reference architecture, preforms data mapping, maintains data dictionary, and tunes performance and scalability of complex databases, processes and queries. Familiar with full-scope implementations, product life-cycle management systems, CAD data management, product data management, and associated networking systems.


Extensive experience from both user perspective and technical perspective (business administration, configuration, customization, integration).Designs the organization's enterprise data management framework used to plan, enable, create, acquire, maintain, use, retrieve, control and purge data, defines and develops corresponding standards. Ensures compliance with Intel's data architectural principles and data governance policy and provides expertise on decisions and priorities regarding the enterprise's overall data architecture. Elaborate and map business requirements into Functional and Technical Solutions. Analyzes data requirements, and designs effective database solutions and models, to store and retrieve lifecycle management data.


Responsible for the evolution of data, including designing and evolving schema, streamlining of data operations, and maintaining our database to ensure peak performance. Performs data warehousing modelling, designs data integrations, interfaces, data profiling rules and troubleshoots incidents on supported databases and solutions. Responsible for charting solution blueprint and other documentation as required. Takes full ownership of the technical aspects of the project and work with business stakeholders, internal and external technical teams in delivering the solution.


Qualifications


Qualifications: Minimum qualifications are required to be initially considered for this position. Preferred qualifications are in addition to the minimum requirements and are considered a plus factor in identifying top candidates.

 

Minimum Qualifications:

PLM data management architecture, data modeling to support various applications, customer requirements, the semantics of the applications, and application best practices.

Strong knowledge of engineering process and data management

Comprehensive knowledge in a business functional area who can understand semiconductor business needs and translate them into technical design and development in data warehouse technology.

Experience in developing data schemas and loading data from multiple sources using integration tools.

Strong knowledge of and experience with reporting packages (Business Objects), databases (SQL, Teradata, HANA, Azure and Snowflakes) , programming (XML, JavaScript, or ETL frameworks)

Translate functional specifications into technical specifications and ensure a comprehensive data store design.

 

Preferred Qualifications:

Interpret data, analyze results using statistical techniques and provide ongoing reports Minimum of 2 years in developing, creating and updating objects and views using MS. SQL Store Procedure, Denodo, Mulesoft, Azure Data Bricks, and Snowflakes

 

Experience in data integration across enterprise systems Experience in Item or Supplier or Customer or Location or Product Master Data Preferred knowledge in Product Engineering and Product Master data.


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