Fincons Group is an IT business consulting company that has been designing the digital future of leading companies on international markets for 40 years. Fincons Group built its reputation on foreseeing and interpreting new business models and the rapid evolution of IT systems by building a complete range of services: from research and consulting to design and development, from system integration of leading vendor software solutions right up to application management, supporting clients step by step along their digital transformation journey. Fincons is a multinational with over 2,600 people and several offices worldwide (in Italy, Switzerland, Germany, France, the United Kingdom, Belgium and the USA), but above all a Family Company where the founders play a strategic role with commitment and passion, grounding the company in the same principles of a united and caring family.
We firmly believe in the value of cooperation and in the contribution that every idea and intuition can bring. We believe that everyones effort can make a difference. Transforming knowledge into a strategic resource is our company mission, and we pursue it with the help of our most strategic asset: our people.
Fincons is looking for an Enterprise Architect
TASKS
Maintain an overall view of IT systems with special attention to the role and position of eCommerce DataHub and its analytical components.
Supervises the overall consistency of digital architecture at Corporate level
and guarantees that its design fulfils a set of requirements.
Performs high level and core design of eCommerce DataHub and its analytical platform, ensures
interoperability and identifies potential reuse of existing analytical components.
Define DataHub and its analytical platform reference architecture and its evolution, in alignment
with Corporate architecture and specific DataHub project requirements.
Propose and design the scalable data pipelines necessary to meet the business analytical
requirements related to the data collected by DataHub project (including integration and
consolidation of the different data sources from different information Systems and including solutions based on the Cloud architecture)
Propose AI solutions and monitor their implementation to support DataHub requirements.
Proposes systems, components and services architecture (e.g. SOA, microservices, event driven,
serverless, API-first), COTS software products, standards.
Makes proposals for data architecture and data governance.
Understands, applies and suggests improvements of methodology, data processing, data
architecture, data governance, AI technology, security policies, tools, best practices, etc..
Supports architectural consistency of the projects by designing services and components, encouraging reuse and ensuring that system design meets system requirements, in particular non-functional requirements: volume, scalability, confidentiality, integrity, availability, business continuity and disaster recovery planning.
Provides advice and consultancy to senior/middle/project management.
Produce and/or reviews architecture documents.
Oversees the work of external contractors pertaining to architecture, data analytics and AI
implementation
Support procurement and contract management activities where data processing services are
involved.
Report on the status, risks, and mitigation actions in this respect.
Interaction with the business analysts, customer, users, project leaders and the developers
KNOWLEDGE AND SKILLS
Very good knowledge of technologies and COTS used by DataHub / DataLab projects (e.g. SAS, R, Stata, Python, SQL, Kubernetes, Kafka, XML, etc.);
Stay up to date with the latest advances in IT architecture, data analytics and AI components, including innovative solutions related to the cloud technology.
Good knowledge of interoperability technology (e.g. web services, microservices, message - oriented middleware, service oriented bus).
Good knowledge of service implementation patterns (synchronous, asynchronous, request/response, etc.), distributed systems design and messaging layer.
Experience in architecture modelling (architecture modelling tools being an asset).
Proven experience of agile development and release scope management using Jira/ Confluence/
BitBucket/ Nexus tools and release planning;
Proven experience of working in multinational environment with outsourced software development model/environment;
Good analytical and problem solving skills
Capability to write clear and structured technical documents
Ability to participate in technical meetings and good communication skills with technical and non-technical a