Data Architect

We are looking for a Data Architect to help define and improve our backend application architecture in terms of data location and work on general performance, scalability and robustness improvements.

• Develop, align, and evolve the enterprise-wide data strategy to support delivery of corporate objectives.
• 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.).
• Maintain and shape 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.
• Contribute as to how the business 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.

Requirements

• Proven experience in architecting and implementing Business Intelligence and Data warehouse platforms, Master data Management, data integration and OLTP database solutions.
• Extensive knowledge of industry best practices around data architecture in both cloud based and on prem solutions.
• Comprehensive understanding of the principles of and best practices behind data engineering, and the supporting technologies such as RDBMS, NoSQL, Cache, Event Streaming & In-memory stores.
• Deep understanding of data warehousing and data transformation (extract, transform and load) processes and the supporting technologies such as Google Dataflow, Looker, Amazon Glue, EMR, Azure Data Factory, Data Lake, other analytics products.
• Excellent problem solving and data modelling skills (logical, physical, semantic and integration models) including; normalisation, OLAP / OLTP principles and entity relationship analysis.
• Experience mapping key Enterprise data entities to business capabilities and applications.
• A strong knowledge of horizontal data lineage from source to output.
• Fluent in English, both written and spoken.

Benefits

• Hybrid & Remote work arrangements;
• Lunch vouchers;
• Health Insurance;
• Flexible working hours;
• Bi-monthly company wide social and team building events;
• Training and Development opportunities.