RQ09823 - Data Architect/Modeller - Senior

Responsibilities:

• Develops and implements the data architecture for application development in a complex and distributed environment, including the determination of the flow and distribution of data, the location of databases, and data access methods.
  
• Data Modeler (Senior) to review data models for source MECP applications and databases, analyze and develop data model specifications for target Azure Data Lakehouse databases..
  

Experience and Skill Set Requirements:

Must Haves:

• Demonstrated experience reviewing and analyzing business needs and requirements for existing IT applications and related data and designing target data models .
  
• Strong experience in research, data analysis and development of effective IT data model designs.
  
• Work with related IT initiatives as required to align with the enterprise data modeling standards and requirements.
  
• Expert analytical skills and experience to analyze and understand source data models and data including developing data mappings for source and target systems.
  
• Excellent RDBMS knowledge including SQL skills for carrying out deep analysis and/or to confirm/validate data.
  
• Able to work and effectively engage with a multi-functional (e.g. Business Analysts, SME, Developers, Architects etc.) team to ensure IT deliverables produced are of high quality.
  
• Able to understand the problem domain and target IT/business requirements and communicate data modeling outputs as required.
  
• Quick learner with ability to adapt and work independently with little or no supervision.
  
• Able to carry out research from a variety of sources to ensure alignment with current IT trends and best practices.
  
• Expert skills and experience with the use of data modeling tools.
  
• Ability to engage and provide information sharing support to IT architects (Business, Information, Solution, and Technology) as may be required.
  
• Ensures integration with related corporate and client cluster policies and standards, and incorporation of best practices in the industry.
  
• Knowledge and experience in creating, developing and managing logical and physical data models.
  

Skill Set Requirements:

Core Skills and Experience (8+ years):

• Demonstrated experience reviewing and analyzing business needs and requirements for existing IT applications and related data and designing target data models .
  
• Strong experience in research, data analysis and development of effective IT data model designs.
  
• Work with related IT initiatives as required to align with the enterprise data modeling standards and requirements.
  
• Expert analytical skills and experience to analyze and understand source data models and data including developing data mappings for source and target systems.
  
• Excellent RDBMS knowledge including SQL skills for carrying out deep analysis and/or to confirm/validate data.
  
• Able to work and effectively engage with a multi-functional (e.g. Business Analysts, SME, Developers, Architects etc.) team to ensure IT deliverables produced are of high quality.
  
• Able to understand the problem domain and target IT/business requirements and communicate data modeling outputs as required.
  
• Quick learner with ability to adapt and work independently with little or no supervision.
  
• Able to carry out research from a variety of sources to ensure alignment with current IT trends and best practices.
  
• Expert skills and experience with the use of data modeling tools.
  
• Ability to engage and provide information sharing support to IT architects (Business, Information, Solution, and Technology) as may be required.
  
• Ensures integration with related corporate and client cluster policies and standards, and incorporation of best practices in the industry.
  
• Knowledge and experience in creating, developing and managing logical and physical data models.
  

Desirable Skills and Experience:

• Experience with Computer Aided Software Engineering (CASE) tools
  
• Experience with use of Python in aiding data processing activities.
  
• Knowledge and understanding of Information Management principles, concepts, policies, and practices.
  
• Knowledge of Parquet, Delta-Lake data formats.
  
• Knowledge of Azure Data Lakehouses, Snowflake.