Data Architect

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: Google Cloud Platform Data Architecture ,MDM Conceptual, Data Architecture, Data Lakehouse Architecture, Dimensional Data Modeling