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Data Architect

Job Location: Location Negotiable

Job Number: 00511746

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- Job description

 
Bring the latest innovation and technology ideas in order to plan, deliver and execute of one or more Technology projects and programs for Accenture or its clients. Work to ensure appropriate resources are mobilized and programs/projects/portfolios meet operational, contractual and economic commitments. May manage service quality, cost and leadership of the people delivering services across one client deal and /or country.
Requires identifying and assessing complex problems for area of responsibility. Creates solutions in situations in which analysis requires an in-depth evaluation of variable factors.
 
As the Data Architect, the role will involve leading and working within a team to perform the following:
  • Manage the overall data establishment effort and deliverables across a number of parallel project strands
  • Primary data contact and escalation point
  • Define the data strategy, required processes and tools
  • Agree and develop data approach documents with Technical / Business leads and the Project Manager including, but not limited to, high level data approach, environment, data and resource requirements and automation approach.
  • Estimate and plan all data activities required to deliver quality product to required timescales
  • Adopt a hands-on approach to design build and execution
  • Work closely with test, business analysts and technical leads to ensure common purpose of delivery on process and plan
  • Manage the sign off of entry and exit criteria as per standard agreed criteria.
  • Adjudicate and prioritise on varying / conflicting requirements with the Business
  • Manage project risks / issues and escalate to Project Manager and IT Delivery Manager as required.
 
Technical Skills
  • Requirements Analysis
  • Data modelling and database design
  • Experience in Extract, Transform, Load (ETL) processes and tools
  • SQL
  • Shell scripting
Tasks
  • Defining the high level integrated data model for the project
  • Defining the detailed integrated data model for the project
  • Define the data model diagram for the project
  • Create an inventory of the data for the project
  • Define the migration approach
    • Analysing and defining data Conversion Requirements       
    • Scope of Migrations
    • Identified Migration Components
    • Identified Migration Tools
    • High-Level Migration Process Workflow
  • Design, build, test of the migration / conversion procedures required for the project
    • Data migration mapping
    • Description of Migration Component(s)
    • Pre-Migration Tasks
    • Detailed Migration Steps (including common errors and fixes)
    • Post-Migration Checklist
    • Rollback/Restoration procedures
  • Writing / implementing the verification procedures required for the project
    • Migration Verification Test
  • Define test data approach
    • Common Test Data
    • Outlines the process for creating each type of common test data defined within the Test Data and Environment Management Approach.
    • Mock Conversion Plan       
 
Please also note that Accenture is an equal opportunities employer and welcomes applications from all sections of society and does not discriminate on grounds of race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, or gender identity.
 
 

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