Our mission, your future
As a global network of trusted advisors, we create cutting-edge technological solutions to overcome today’s challenges and anticipate tomorrow’s needs. It all starts with the collaboration of a diverse team of passionate innovators, each driven to make a difference. Together, we challenge the status quo and push each other to new heights.
Ready to leave your mark on engaging mandates and shape the future through digital transformation and strategic consulting? Take your ambitions to the next level and discover your next exciting challenge with us!
Your role, your impact
Are you ready to put your data expertise to work on meaningful projects? As a Data Architecture Advisor, you’ll play a key role in initiatives such as data integration architecture implementations, advanced analytics, data maturity assessments for artificial intelligence, and data warehouse implementations.
We’re seeking talented individuals to strengthen our expertise and enrich our technology communities, which are dedicated to supporting our clients across various business sectors, such as insurance, financial services, telecommunications, and more, in bringing their projects to life. If you enjoy supporting your colleagues and clients, staying on top of technological innovations and promoting best practices in your field, joins us and take on challenges that match your talent!
Keys to your success
- Bachelor’s degree in a related field;
- Certification in a relevant technology (AWS, Azure, Databricks, Snowflake, etc.);
- 8 years of IT experience, including 2 to 3 large-scale projects delivered as a data architecture advisor;
- Experience in ETL/ELT, data virtualisation, architecture design, and the implementation of data lakes and data integration solutions;
- Experience with several technologies in the following categories:
- Relational and NoSQL databases: SQL Server, Oracle, PostgreSQL, MongoDB, Cassandra, Neo4j;
- Orchestration and transformation tools: Talend, Informatica, Apache NiFi, dbt, Airflow;
- Languages: SQL (essential), Python, Scala, Java;
- Modelling tools: Erwin, PowerDesigner, dbt, Lucidchart, ArchiMate, Draw.io;
- Data governance tools: Microsoft Purview, Collibra, Alation, Informatica Axon.
- Proficiency in one of the following cloud environments:
- Azure (Data Lake, Synapse, Data Factory [Fabric]);
- AWS (Redshift, S3, Lake Formation, Databricks, SageMaker);
- GCP (asset).
- Strong leadership, initiative, and the ability to communicate effectively with stakeholders across all levels of the organization.
Extra edge
- Experience or interest in machine learning or data science.
Language skills
- French: Proficient
- English: Proficient
Please note that due to the nature of the responsibilities of the position, a proficient level of English is required, in particular to communicate on a regular basis with employees and managers outside of Quebec.
