About the role

Data Architecture Advisor designing robust data management solutions. Involved in data integration, analytics, and architecture implementation for diverse business sectors.

Responsibilities

Design robust, scalable and secure solutions for data management, storage and mining;
Develop conceptual, logical and physical models tailored to business needs and technical constraints;
Supervise or design integration flows (ETL/ELT), data pipelines and orchestration mechanisms;
Participate in the implementation of data quality, security, cataloguing and traceability policies;
Monitor technological developments and propose technologies suited to the organization’s ecosystem;
Produce and maintain technical and functional documentation for data solutions;
Provide technical support and coaching to developers, analysts or data engineering specialists, depending on the team structure;
Ensure data governance and regulatory compliance by integrating legal requirements (e.g., Law 25, GDPR, ISO) and promoting transparency, quality and accountability.

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.

Balance that works for you: Work-life balance helps us stay at our best. With flexible work options and our Unlimited Vacation Plan, you can rest and recharge when you need it most.
Support for your well-being: Our benefits are designed with optimal health and wellness in mind. You’ll have access to 24/7 virtual healthcare, as well as an extensive wellness portal that provides tools and resources to support your physical, mental, emotional and financial well-being.
Continuous growth and learning: Through partnerships with world-renowned education leaders, we provide access to thousands of top-rated online courses and certifications. With exclusive leadership programs and a tuition reimbursement program for external training, we set you up to achieve your ambitions.
Ownership with opportunity: Through our Employee Share Purchase Plan with matched contributions, you become a shareholder, directly benefiting from our collective achievements.
Equal employment opportunity: Alithya is committed to providing an inclusive workplace through the implementation of an equal employment opportunity program. We encourage women, Indigenous peoples, visible and ethnic minorities, and persons with disabilities to apply.
An inclusive path to success: Fostering an environment where you can thrive starts with ensuring an accessible recruitment process. If you require any accommodations, we welcome you to contact us.