The Data Architect develops large-scale structures and pipelines to collect, prepare, transform traceability data coming from industrial lines located in multiples sites.
They will be responsible for defining the traceability standards following the business requirements (quality, industrial etc..), the deployment, optimization and monitoring of data pipelines and the Design of cloud environments, with focus on efficiency, scalability, and cost.
The Data Architect missions are the following:
● Defines data standard & principles by owning, creating and managing the traceability standards , the solutions architecture and the data retrieval , ensuring that data flows are mapped, visualized and understood.
● Design the cloud environment that will be used (GCP (Google) or AWS (Amazon)), with focus on efficiency, cost & scalability in term or AI & ML.
● Designs the enterprise data management framework which describes processes used to plan, specify, enable, create, acquire, maintain, use, archive, retrieve, control & purge data.
Responsibilities
The Data Architect will be responsible for:
Define Data Standards & Principles
● Translate business requirements into technical specifications, including data streams, integrations, transformations, databases, and data warehouses
● Maintain and manage a Data Architectural standard for the entire business and define ways to easily re-use data across various functional areas
● Accountable for leading and delivering technology strategies, partnering with project teams to design, create and re-use enterprise information assets, services, infrastructure, and business systems.
Designs the enterprise data management framework.
● Define the data architecture framework, standards and principles, including modelling, metadata, security, reference data such as product codes & client categories, and master data such as clients, vendors, materials, & employees
● Define reference architecture, which is a pattern that others can follow to create & improve data systems
● Define data flows, i.e., which parts of the organization generate data, which require data to function, how data flows are managed, and how data changes in transition
Control the standard defined.
● Ensure that the traceability standards defined are correctly apply on his perimeter
● Review and continuously improve existing standards to ensure close alignment with the industrial process.
Education / Training
● Master Level or Engineering school specialized in intelligent systems, data Processing
Professional Experience
● Experience in real-time scalability
● Understanding of the principles and processes of master data management
● Ability to design and implement large-scale data loading, manipulation, processing, analysis and mining solutions
● Knowledge of analytics platform
● A Previous experience using GCP (Google) or AWS (Amazon) platforms
Technical Competencies
● Understand the system development life cycle, project management approaches, and requirements, design, and test techniques.
● Data modelling and design, including SQL development & database administration.
● BigQuery & API management
● Understand established data management & reporting technologies
● Knowledge of columnar and NoSQL databases, data visualization, and unstructured data.
For more information please contact me at 0879728431 or annemarie@amfconsulting.ie