Data Architect
Data Architect
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1 Vacancy
Job Description
Data Architect
- Develop and evolve the enterprise wide data strategy to support delivery of corporate objectives
- Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise wide data strategy
- Build a framework of principles to ensure data integrity across the business including but not limited to ERP CRM BI Data warehouse external interfaces etc
- Ensure that the Data Architecture strategy and roadmap is aligned to the business and technology strategies
- Apply Best Practices in creating and maintaining Data Data Pipelines Data Lakes Data Sources Databases Artifacts
- Build and maintain appropriate Enterprise Architecture artefacts including Entity Relationship Models Data dictionary taxonomy to aid data traceability
- Provide technical oversight to solution delivery in creating business driven solutions adhering to the enterprise architecture and data governance standards
- Be an advocate of data security principles and ensure appropriate security practices are embedded in any data strategy
- Be an active contributor to how the bank evolves Data Governance practices and influence the adoption of data standards
- Develop key performance measures for data integration and quality
- Support third party data suppliers in developing specifications that are congruent with the Enterprise data architecture
Skills
- Proven experience in architecting and implementing Business Intelligence and Data warehouse platforms Master data Management data integration and OLTP database solutions
- Possess indepth knowledge of and able to consult on various technologies Strong knowledge of industry best practices around data architecture in both cloud based and on prem solutions
- Strong analytical and numerical skills are essential enabling easy interpretation and analysis of large volumes of data
- A comprehensive understanding of the principles of and best practices behind data engineering and the supporting technologies such as RDBMS NoSQL Cache Inmemory stores
- Experience of architecting data solution across hybrid cloud on premise data platforms
- A comprehensive understanding of data warehousing and data transformation extract transform and load processes and the supporting technologies such as Amazon Glue EMR Azure Data Factory Data Lake other analytics products
- Experience implementing data solutions Excellent problem solving and data modelling skills logical physical sematic and integration models including normalization OLAP OLTP principles and entity relationship analysis
- Experience of mapping key Enterprise data entities to business capabilities and applications
- A strong knowledge of horizontal data lineage from source to output
- Excellent communication and presentational skills confident and methodical approach and able to work within a team environment
Skills
Mandatory Skills: GCP Data Architecture MDM Conceptual Data Architecture Data Lakehouse Architecture Dimensional Data Modeling
Employment Type
Full-time
