Senior Managing Consultant

Why Keyrus, Why Now Keyrus is an international group of 3,000 experts across 30 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.

For more than 30 years, we have helped organizations build the data foundations that power intelligent systems. Today, we go further by designing and operationalizing intelligence that delivers measurable business value.

Building AI capabilities is only part of the challenge. Real transformation happens when those capabilities work within existing business systems, data environments, workflows, and processes.

At Keyrus, you’ll lead enterprise data transformation initiatives, shape modern cloud and data architectures, and strengthen our Data Engineering practice by connecting technical excellence, consulting leadership, and measurable business value.

Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.

Role details

Location: Hybrid - Toronto or Montreal, Canada (2 days per week in the office)

Contract: Permanent, full-time

What you’ll architect As a Senior Managing Consultant, you’ll lead complex consulting engagements and architect modern enterprise data and AI platforms while helping grow Keyrus’ Data Engineering and AI practice across North America.

You’ll combine cloud, data architecture, and AI expertise with strategic leadership, delivery governance, and business development to design scalable, data & AI-ready solutions, establish engineering standards, and support successful client transformations.

You’ll also strengthen technical and AI capabilities, mentor consulting teams, and develop reusable frameworks, AI-driven solutions, and innovative offerings that create sustainable business value.

Your responsibilities

Partner with clients to understand business objectives, define transformation roadmaps, and architect scalable enterprise data solutions across Databricks, Microsoft Fabric, Snowflake, Azure, and complementary technologies.

Lead end-to-end delivery of complex data engineering engagements, overseeing multidisciplinary teams, technical architecture, delivery quality, risk management, and commercial performance.

Define and govern architectural standards, reusable accelerators, modernization frameworks, and engineering best practices across the Data Engineering practice.

Lead and grow the Data Engineering practice by developing technical capabilities, mentoring consultants, and establishing consistent delivery standards.

Drive technical pre-sales, solution design workshops, strategic proposals, and go-to-market initiatives, developing differentiated offerings and industry-specific use cases.

Collaborate with strategic technology partners to align solution strategies, leverage emerging platform capabilities, and strengthen client offerings.

Champion the adoption of AI capabilities and emerging cloud and data technologies, translating innovation into practical solutions and measurable business outcomes.

Who you are You are a strategic and technically accomplished Data Engineering leader who combines deep architectural expertise with strong consulting, commercial, and people leadership capabilities. You are comfortable engaging executives, leading complex client transformations, and overseeing multiple delivery teams while maintaining technical excellence and business outcomes. You enjoy mentoring consultants, building scalable practices, and translating emerging cloud, data, and AI technologies into meaningful client value.

What you bring Experience

8+ years of professional experience in Data Engineering, including 5+ years in Senior Consultant, Principal Consultant, Technical Lead, or Technical Project Management leadership roles.

Proven experience leading enterprise data consulting engagements, complex transformation initiatives, and multidisciplinary delivery teams.

Strong experience architecting and delivering modern enterprise data platforms, lakehouses, data pipelines, and cloud-native analytics solutions.

Experience establishing architectural standards, technical governance frameworks, and reusable engineering practices across multiple engagements.

Demonstrated experience leading technical pre-sales, solution design workshops, strategic proposals, and client-facing architecture discussions.

Experience mentoring consultants, developing engineering capabilities, and managing delivery quality, commercial performance, and client satisfaction.

Technical skills

Deep hands-on expertise in enterprise data architecture using Databricks, Microsoft Fabric, Snowflake, and Azure Data Services.

Strong experience designing scalable data pipelines, lakehouses, data warehouses, and cloud-native analytics platforms.

Prov