Modern Data Stack Engineer Consultant / Senior Consultant

Job Type: Permanent Work Model: Hybrid Reference code: 133548 Primary Location: Montreal, QC All Available Locations: Toronto, ON; Brossard, QC; Burlington, ON; Calgary, AB; Edmonton, AB; Fredericton, NB; Halifax, NS; Kitchener, ON; Laval, QC; Moncton, NB; Montreal, QC; Ottawa, ON; Quebec City, QC; Regina, SK; Saint John, NB; Saskatoon, SK; St. John's, NL; Vancouver, BC; Victoria, BC; Winnipeg, MB Our Purpose At Deloitte, our Purpose is to make an impact that matters. We exist to inspire and help our people, organizations, communities, and countries to thrive by building a better future. Our work underpins a prosperous society where people can find meaning and opportunity. It builds consumer and business confidence, empowers organizations to find imaginative ways of deploying capital, enables fair, trusted, and functioning social and economic institutions, and allows our friends, families, and communities to enjoy the quality of life that comes with a sustainable future. And as the largest 100% Canadian-owned and operated professional services firm in our country, we are proud to work alongside our clients to make a positive impact for all Canadians. By living our Purpose, we will make an impact that matters. • Have many careers in one Firm. • Enjoy flexible, proactive, and practical benefits that foster a culture of well-being and connectedness. • Learn from deep subject matter experts through mentoring and on the job coaching -- As a Data & AI Platform Engineer on the AI & Data Transformation team, you will operate at the core of modern data and AI ecosystem designing, building, and scaling cloud-native platforms that enable advanced analytics and agentic AI capabilities. What will your typical day look like? Your day could include: • Designing and engineering modern data platforms, including ingestion, transformation, and serving layers across cloud ecosystems such as Azure, AWS, Snowflake, and Databricks. • Modernizing legacy data environments, migrating workloads from platforms such as SAS 9, DataStage, Informatica, and Cognos to modern architectures like Databricks, Snowflake, SAS Viya, and cloud-native services. • Implementing/building transformative use cases on modern data platforms, enabling advanced analytics, machine learning, and AI-driven decisioning. • Designing and developing agentic AI solutions, including developing AI agents that interact with enterprise data platforms to automate workflows, orchestration, and data-driven decision-making. • Leveraging agentic AI to accelerate the software development lifecycle (SDLC), including code generation, automated testing, documentation, data pipeline development, and platform operations through intelligent agents and copilots. • Implementing and managing cloud infrastructure, including platform administration, performance optimization, cost management, and security across Azure, AWS, and hybrid environments. • Designing scalable data pipelines and orchestration frameworks, leveraging modern patterns such as ETL/ELT, streaming, and event-driven architectures. • Collaborating with cross-functional teams, including AI engineers, data scientists, architects, and business stakeholders to deliver end-to-end data and AI platform solutions. • Driving platform best practices and governance, including data quality, lineage, observability, and reliability to support enterprise-scale AI adoption. You will thrive in this role if you enjoy solving complex engineering problems, are passionate about modern data technologies, and bring a strong perspective on how data platforms enable scalable AI-especially in the context of emerging agentic architectures. About the team AI & Data is one of Deloitte Canada's fastest-growing practices, with 300+ professionals across Toronto, Montreal, Vancouver, Ottawa, and Calgary. Our multidisciplinary team brings together engineers, architects, data scientists, and strategists to build modern data platforms and AI solutions that deliver measurable, real-world impact. Enough about us, let's talk about you You are a hands-on engineer with strong technical depth in data platforms and cloud ecosystems, combined with a forward-looking perspective on AI. For this role, you bring: • A Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field. • Minimum of 3+ years of relevant experience in data engineering, data platforms, or cloud-based data/AI solutions. • Strong experience designing, building, and operating modern data platforms in cloud environments (Azure, AWS, Snowflake, Databricks). • Experience modernizing data platforms from sources such as DataStage, Informatica, Cognos, and SAS 9 to targets such as Databricks, Snowflake, Azure, AWS, and/or SAS Viya. • Experience rapidly learning & leveraging & adapting to new programming languages or frameworks on the fly. • Relevant certifications in Databricks, Snowflake, Azure, AWS, and/or SAS (e.g., Azure Data Engineer, AWS Data Analytics, Snowflake SnowPro, Databricks certifications). • Strong understanding of data engineering patterns, including ETL/ELT, data modeling, orchestration, streaming, and performance optimization. • Experience delivering transformative data and AI use cases, including advanced analytics, ML pipelines, and/or AI-enabled applications on modern data platforms. • Experience leveraging agentic AI and copilots to accelerate SDLC, including automated code generation, testing, documentation, and data pipeline development. • Strong understanding of cloud platform administration, including security, identity & access management, networking, reliability, and cost optimization. • Experience working in cross-functional, agile teams and delivering production-grade solutions. • Bilingual proficiency in French and English (written and spoken), with the ability to work effectively in client-facing environments across Canada. • Strong problem-solving skills and the ability to communicate complex technical concepts to both technical and non-technical stakeholders. Bilingualism in French and English is required for this position due to the nature of the role having interactions with National & Global clients and project teams. Total Rewards The salary range for this position is $58,000 - $102,000, and individuals may be eligible to participate in our bonus program. Deloitte is fair and competitive when it comes to the salaries of our people. We regularly benchmark across a variety of positions, industries, sectors, targets, and levels. Our approach is grounded on recognizing people's unique strengths and contributions and rewarding the value that they deliver. Our Total Rewards Package extends well beyond traditional compensation and benefit programs and is designed to recognize employee contributions, encourage personal wellness, and support firm growth. Along with a competitive base salary and variable pay opportunities, we offer a wide array of initiatives that differentiate us as a people-first organization. On top of our regular paid vacation days, some examples include: $4,000 per year for mental health support benefits, a $1,300 flexible benefit spending account, firm-wide closures known as "Deloitte Days", dedicated days of for learning (known as Development and Innovation Days), flexible work arrangements and a hybrid work structure. Our promise to our people: Deloitte is where potential comes to life. Be yourself, and more. We are a group of talented people who want to learn, gain experience, and develop skills. Wherever you are in your career, we want you to advance. You shape how we make impact. Diverse perspectives and life experiences make us better. Whoever you are and wherever you're from, we want you to feel like you belong here. We provide flexible working options to support you and how you can contribute. Be the leader you want to be Some guide teams, some change culture, some build essential expertise. We offer o