Senior Data Architect
Senior Data Architect
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Salary Not Disclosed
1 Vacancy
Job Description
- Conduct research and make recommendations on Extract Transform Load (ETL) tools enterprise data warehouse (EDW) and data lake products services protocols and standards in support of procurement and development efforts.
- Evaluate recommend and select EDW and data lake components including hardware database management systems ETL software data mining tools and metadata management tools.
- Work with end users BI and data analytics teams to identify create and deliver reports according to requirements.
- Design and manage ETL EDW data lake improvement and growth projects.
- Identify inefficiencies and gaps in current EDW and data lake and leverage solutions.
- Identify inconsistencies and quality issues in the data and take steps to maintain data consistency and integrity.
- Diagnose and resolve the organisations EDW and data lake requirements access and performance issues.
- Oversee the installation management and configuration of necessary components to ensure access to the organisations EDW and data lake.
- Monitor system details within the EDW and data lake including stored procedures and time and implement efficiency improvements.
- Perform cost estimates for data migration across development test and production systems and plan and coordinate the migration processes.
- Develop implement and maintain change control and testing processes for modifications to data systems.
- Establish build and maintain collaborative working relationships with relevant internal and external stakeholders.
- Scan the environment to ensure a clear understanding of stakeholder needs.
- Engage with both internal and external stakeholders to identify and evaluate performance barriers and success to continuously improve on the service delivery.
- Work in collaboration with colleagues in the centre to ensure timeous delivery of the deliverables and manage service level agreements (SLAs).
- Must have an information technologyrelated diploma or degree.
- Must have a professional architecture certification in the data management field (i.e. The Open Group Architecture Framework (TOGAF) Certified Data Management Professional (CDMP).
- Must have at least five 5 years of experience as a Senior Data Architect and possess expertise in the following data architecture components:
- Data architecture principles.
- Enterprise data model (conceptual logical and physical).
- Data catalogue and metadata repository.
- Data governance framework.
- Master data management (MDM) strategy.
- Data integration architecture.
- Data storage and platform strategy.
- Data lineage and provenance.
- Data quality management framework.
- Data security and privacy architecture.
- Data analytics and business intelligence (BI) architecture.
- Big data and artificial intelligence (AI)/ machine learning (ML) architecture.
- Data architecture roadmap.
- Data access and application programming interface (API) strategy.
Required Experience:
Senior IC
Employment Type
Contract
