Data Architect
Job Description
Orange Business’ ambition is to become the leading network and digital integrator in Europe, building on our strengths in new generation connectivity solutions, the cloud and cybersecurity.
In order to develop our Lille team, we are now looking for a Data Architect able to support our clients in structuring their IS around data.
Your main missions will be:
- Provide advice in the choice of solutions : costing, analysis of functional and technical impacts,
- Participate in consulting missions: architectural reviews, comparative studies , review and study of business needs, etc.
- Participate in pre-sales processes: customer meetings and response to calls for tenders,
- Capitalize (documentation, good practices) and ensure the increase in the skills of consultants in their area of expertise,
- Participate in innovation and technological monitoring projects
- Intervene at marketing events to highlight our technological expertise
- Intervention linked to the profession in order to ensure consistency between the request and the technical issues during the framing phases
- Ensure understanding of needs in order to define the architecture and secure the design phase : identification of sources, data analysis, precision of management rules / calculation of aggregates, data modeling, etc.
- Master the creation and modeling of databases
- Ensure a prescribing role on behalf of the client by formalizing architectural standards and best practices
- Coordinate technical teams and provide support to consultants
- Manage the drafting of technical deliverables : scoping studies, architecture and risk analysis file, mapping of data assets, operations manual, etc.
Your profile
- For at least 5 years, you have been designing and deploying Data architectures . You enjoy supporting and advising clients and consultants in the implementation of a Data platform .
- You master one or more Cloud environment(s) (Azure, GCP, AWS), DevOps / Dataps principles , and languages / tools / services around Data (SQL, ETL, reporting / dataviz, Merise, UML, Spark, Hadoop , Nosql, ELK, Snowflake,…).