Función Laboral: Sistemas de Información

Tipo de contrato: Jornada Completa

Ubicación: CA - Quebec - Montreal

País: Canada

Business Segment: L’Oreal Americas Information Technology
Enterprise Architecture Team Of ‘Strategy & Governance’

Role: Data Architect

Reports to: Enterprise Architect Lead in USA

Location: Montreal, Canada

Travel: Approximately 15-20% International travel to USA and France

Job Description:

If you believe that data is ‘fuel’ for today’s economy and APIs are ‘highway’ for collecting and sharing this data.  Do you have passion for learning new technology and ability to see ‘big picture’. If yes – we want to speak to you.

A Data Architect is a fulltime position within Enterprise Architecture team in ‘Strategy and Governance’ team of IT. This function will represent Enterprise Architecture team in Canada and lead Data Architecture segment for Americas Zone.

The ideal candidate must have a passion for data and experience delivering projects. This person will be responsible for bringing in tools needed to run the practice i.e. documenting existing data models, process to introduce new data models, and creating guidelines/best practice for technical and solution architect to manage data.

Proven experience understanding and translating business needs into a comprehensive, cohesive solution design that meet all functional and non-functional requirements is required. Strong communication skills are also required with experience influencing others outside of the project reporting hierarchy.

This role combines information technology, and ingenuity and would best be filled by someone with a technical background in Computer Science. The ideal candidate will be motivated and a detail-oriented professional who can contribute to systems architecture design, infrastructure deployment and change processes.


·         Ability to work with business group to understand requirements, workflows and system trade-offs

·         Document and rationalize data models

·         Create and maintain data model/dictionary in tools like SAP Power Designer or Erwin

·         Work with external partners on data policy, standards and best practices

·         Comply L’Oreal with data privacy laws of country

·         Ensure security best practices are followed by all application owner i.e. data encryption practice during transit or at rest.

  • Ensure all activities are visible and transparent to maximize productivity
  • Test/evaluate new technologies
  • Develop processes and procedures that are rigorous but compatible with our "speed to market" philosophy
  • Create technical specs and dataflow diagram for project and advise team on reusability of pre-existing data models
  • Collaborate with technical resources across L’Oreal Technology organization
  • Envision reusable and scalable data architecture to support 30+ brands of L’Oreal and multiple markets of America zone
  • Data Management & Modeling
  • Data Integration Techniques
  • Master Data Management Concepts
  • Big Data
  • Advanced Analytics &/or Machine Learning
  • Enterprise Package Application Implementation


Must excel in at least three areas below with a desire to grow in other architecture planning or build efforts within the enterprise.

Experience with the technologies in the Relational database, NoSQL and Hadoop ecosystems like, HDFS, Spark, MapReduce, Pig, Hive, Flume, Sqoop, Cloudera Impala, Zookeeper, Oozie, Hue, Kafka, MongoDB, Couch, and Cassandra is helpful for this role.


Understanding of when to use each type of data storage technologies mentioned above.


  • B.S. degree in Computer Science, Information Technology or other technical discipline
  • Demonstrated project planning, organizational and leadership skills
  • Strong experience working with DMP, DSP, Big Data, Enterprise Data Warehouse, Cubing Technology, In-Memory Data Store
  • Experience with technologies like Domo, Spotfire, PowerBI, Tableau
  • Minimum 10 years’ experience in data management roles
  • Excellent written, verbal and presentation skills
  • Experience leading technical teams without a direct reporting structure
  • Fundamental understanding of software development lifecycle including Agile
  • Experience orchestrating data governance process across multi country environment
  • Understanding of PaaS Solutions offered by cloud providers is plus