Top Tech Jobs & Startup Jobs in Montreal

Designs modern data architectures and advises clients on cloud modernization, data lakes, lakehouses, advanced analytics, AI, governance, and data quality. Responsibilities include platform audits, strategic roadmaps, technology selection, workshops, presales, stakeholder presentations, project governance, solution delivery oversight, and coaching junior consultants. The role also contributes to the growth of the consulting firm’s data practice and supports international relocation to Montreal.

Designs and develops scalable data processing solutions on Databricks and Azure. Responsibilities include building PySpark pipelines, designing Lakehouse architectures, integrating multiple data sources, optimizing performance and costs, automating testing and deployments, and supporting production data platforms. The role involves consulting with clients and collaborating with architects and analysts on cloud modernization, advanced analytics, AI, governance, and data quality initiatives.

Design and develop AWS data pipelines, ingestion, transformation, storage, and Data Lake/Lakehouse architectures. Optimize AWS data services, solution performance, costs, quality, security, and traceability. Collaborate with architects, developers, and business teams while contributing to automation, CI/CD, and data engineering best practices. The role supports varied consulting projects involving cloud modernization, advanced analytics, artificial intelligence, governance, and large-scale cloud data platforms.

Concevoir, développer et industrialiser des plateformes de données modernes sur AWS. Le rôle couvre l’ingestion, la transformation, l’orchestration, les architectures Data Lake, Data Warehouse et Lakehouse, ainsi que l’optimisation des performances, coûts, qualité, sécurité et gouvernance. La personne collaborera avec des équipes pluridisciplinaires, participera aux pratiques DataOps, DevOps et CI/CD, contribuera aux choix d’architecture et accompagnera les membres juniors. Cinq ans d’expérience minimum en Data Engineering, Big Data ou intégration de données sont requis.

We are seeking a Big Data Snowflake Developer to collaborate on data solutions, implement business rules, and maintain data integration pipelines using AWS Glue, while ensuring data integrity and participating in production deployment.

Develop Big Data solutions on Databricks, create data pipelines, integrate and clean data from multiple sources, and optimize processing for large datasets in cloud environments.

The role involves architecting BI solutions, data engineering on Azure, client interaction, project management, and mentoring juniors. It requires extensive experience in solution architecture and cloud technologies.

Acts as a bridge between business and data teams by gathering requirements, defining and governing KPIs, designing interactive Power BI or Fabric dashboards, validating data with SQL, and supporting testing, documentation, training, and user adoption. Collaborates with data engineering, BI, architecture, and business stakeholders to deliver coherent, actionable analytical solutions in Agile environments.