Job Description

Data Solution Architect

In Data & Performance, our data architects turn strategic business data requirements into integrated designs, that are aligned with enterprise strategy and related business architecture. Working with our Business/Data Analyst, who assures stakeholder requests are mapped from business definition to source system location, the Data Architect transforms these source system definitions to communicable requirements for our INTEL Data Store Data Engineers. This can be for new source system introduction to INTEL DS, major system transformation, minor enhancements or day to day support.

Key Activities Expected:

• Is familiar with macro level data, organizes data at micro level and builds data models for applications
• Documents data for business consumption
• Provides a relational data model as a standard for consuming applications. Combines elements and business rules to create data quality rules
• Identifies and advises on sensitive information and provide support for the implementation of data security rules and processes. Possesses an advanced level of data security knowledge
• Helps in design architecture & preliminary data models, accompanies the project and adapt the model if needed, handles requests to modify data models
• Monitors social feeds within the company to answer stakeholder doubts and queries
• Uses social feeds and documentation databases to assure E2E communication of new releases and changes
• Works within our production ticketing system to respond to data queries, concerns and anomalies.

Skills & Experience:

• Overall 15 years of experience working on supply chain domain and ERP systems with hands on experience on SAP systems as source of data. Exposure to Oracle and Manhattan systems is added advantage
• Experience on working on data objects pertaining both master and transactional data in Purchasing, Material, Sales Orders and Supply chain
• Strong stakeholder management etiquette
• Digital knowledge worker, experienced in using digital tools to advance stakeholder interactions
• Has experience in modelling, processing, and transforming complex data
• Database querying experience, with 2-3 years writing SQL against any database
• Strong communication skills and team player
• Has experience in designing storage solutions
• Has knowledge of systems development life cycle, project mgmt. approaches and requirements, design and testing techniques
• Is skilled (or can quickly adapt) to business functional needs, processes and lifecycles
• Experience as a data engineer and data integrator is an added advantage
• Has knowledge of cloud services (AWS, Azure, GCP...) and big data technologies
• Has knowledge of main architecture frameworks (eg. ITIL, TOGAF ....)

Qualifications

Data Solution Architect

In Data & Performance, our data architects turn strategic business data requirements into integrated designs, that are aligned with enterprise strategy and related business architecture. Working with our Business/Data Analyst, who assures stakeholder requests are mapped from business definition to source system location, the Data Architect transforms these source system definitions to communicable requirements for our INTEL Data Store Data Engineers. This can be for new source system introduction to INTEL DS, major system transformation, minor enhancements or day to day support.

Key Activities Expected:

• Is familiar with macro level data, organizes data at micro level and builds data models for applications
• Documents data for business consumption
• Provides a relational data model as a standard for consuming applications. Combines elements and business rules to create data quality rules
• Identifies and advises on sensitive information and provide support for the implementation of data security rules and processes. Possesses an advanced level of data security knowledge
• Helps in design architecture & preliminary data models, accompanies the project and adapt the model if needed, handles requests to modify data models
• Monitors social feeds within the company to answer stakeholder doubts and queries
• Uses social feeds and documentation databases to assure E2E communication of new releases and changes
• Works within our production ticketing system to respond to data queries, concerns and anomalies.

Skills & Experience:

• Overall 15 years of experience working on supply chain domain and ERP systems with hands on experience on SAP systems as source of data. Exposure to Oracle and Manhattan systems is added advantage
• Experience on working on data objects pertaining both master and transactional data in Purchasing, Material, Sales Orders and Supply chain
• Strong stakeholder management etiquette
• Digital knowledge worker, experienced in using digital tools to advance stakeholder interactions
• Has experience in modelling, processing, and transforming complex data
• Database querying experience, with 2-3 years writing SQL against any database
• Strong communication skills and team player
• Has experience in designing storage solutions
• Has knowledge of systems development life cycle, project mgmt. approaches and requirements, design and testing techniques
• Is skilled (or can quickly adapt) to business functional needs, processes and lifecycles
• Experience as a data engineer and data integrator is an added advantage
• Has knowledge of cloud services (AWS, Azure, GCP...) and big data technologies
• Has knowledge of main architecture frameworks (eg. ITIL, TOGAF ....)