Introduction:Are you a strategic thinker with a passion for data architecture? Our client is looking for a BI Data Architect responsible for aligning the BI architecture with business strategy by analyzing, defining, and designing the data architecture to meet the organizations information needs.
Minimum Requirements:- Education:
- Relevant 3-year tertiary or NQF aligned qualification.
- Experience:
- Up to 8 years in IT, with a minimum of 5 years in a BI technical role and 3 years in a BI architecture role.
- Proven track record of delivering BI technical solutions.
- Experience with Data Warehousing and BI best practices.
Additional Criteria:- In-depth knowledge of Data Warehousing and BI best practices.
- Experience in dimensional modeling, source systems analysis, and data architecture designs.
- Change-oriented with a creative approach to challenges.
- Disciplined in applying BI standards, yet open to suggestions and change.
- Strong analytical skills and meticulous attention to detail.
- Self-motivated with a can-do attitude.
- Excellent communication skills, both verbal and written.
- Supports team development through knowledge sharing and upskilling.
- Maintains advanced knowledge of business operations and industry trends.
- Evaluates solutions for commercial and technological feasibility.
- Leverages research on technology trends to guide IT roadmap decisions.
- Sets technical policies to support IT stability and success.
- Anticipates and overcomes obstacles with proactive problem-solving.
- Builds effective relationships and fosters collaborative partnerships.
- Communicates effectively with diverse audiences and adapts messaging accordingly.
- Continually seeks to adapt and improve through change.
Job Description:- Define End-to-End Data Design for BI Solutions:
- Ensure cohesive integration of all components of the BI solution.
- Collaborate closely with Data Integration and Information Delivery developers.
- Develop and Define Data Standards:
- Establish and communicate data standards across the organization.
- Champion and govern these standards to ensure business benefits.
- Develop and Define Metadata Management:
- Design and maintain metadata repositories to facilitate data asset understanding.
- Create Optimal Data Design:
- Translate business problems into data designs.
- Align user needs with organizational objectives and system requirements.
- Develop and Define Data Governance:
- Ensure compliance and integrity of data solutions.
- Oversee Data Governance, including data quality and reliability.
- Build and Maintain Relationships:
- Form effective partnerships with Business, Enterprise Architecture, and IT teams.
- Provide specialist knowledge of Data Architecture to the Enterprise Architecture team.
- Lead and Drive Research and Development:
- Guide the BI team in technology decisions and technical/data roadmap development.
- Continuously improve Data Architecture methodology through industry trends and best practices.
- Ensure Team Effectiveness:
- Build a sustainable team capability.
- Set aligned goals to ensure quality work.
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