• Data Domain Architect
• Permanent
• Competitive salary and benefits
  A fantastic opportunity for data focused Domain Architect with experience in supply chain planning and manufacturing. Novon is a mid-sized, growing, data consultancy, with a strong pipeline of data focused work and projects from embedded enterprise level clients. We maintain an inclusive and collaborative environment, you will have the support of tenured technical and business focused data professionals, both within your work and professional development.

REQUIREMENTS

• Minimum 7 years working as a data analyst, data modeller, data architect
• Understanding of Agile methodologies and ways of working
• Experience in solution enhancement and analysis
• Multi-system integration experience
• Experience with database solutions, especially Oracle
• Experience with PL/SQL, SQL, SQL*Developer tools, .NET and/or K2
• Experience with APIs

• Domain driven design: Work with data analysts to understand business requirements, identify main entities and domains, key metrics including data quality and ownership of data.
• Conceptual data modelling: Create and extend data models that represent the data structures and relationships relevant to the domain.
• Physical data mapping: Validate and define sources of truth for data requirements and map conceptual data models to physical models.
• Integration: Work with solution and integration architects to design solutions for data integration across various systems and platforms, facilitating seamless data flow. Define API specifications according to logical data models and international standards (e.g. REST APIs). Understand common platforms (e.g. integration, data warehouse)
• Design for performance and scalability: Understand non-functional requirements for the solution, data privacy and regulatory compliance requirements and define patterns and principles to solve for this. Understand concepts like synchronous and asynchronous data flows, data lake, OLTP and OLAP and use this knowledge to design scalable and sustainable solution together with solution architects.
• Design for analytics: Help data analysts and BI teams to ingest the right data and data types to build reporting requirements
• Collaboration: Work with different stakeholders (data analysts, data lead, data engineers, solution architects and business architects) across multiple platform teams and incorporate all requirements, standards and guidelines. Keep close relationship to global data teams practices
• Documentation: Maintain clear documentation of data domains, models, and processes for reference and compliance.
• Application architecture: Understand functional context, boundaries and limitations of vendor application(s)
• Enterprise Architecture: Work with enterprise architects to consolidate data definitions and data models across all domains. Ensure solutions adhere to architecture principles (e.g. data is an asset, data is shared). Document and track “data-debt”.