Teams at agileDSS

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.