About the role

Senior Data Engineer Consultant designing and optimizing Databricks-based data solutions for Keyrus. Leading technical projects, collaborating with teams to drive data engineering best practices during the data lifecycle.

Responsibilities

Lead the design, development, and optimization of Databricks-based data solutions , supporting analytics, data science, and machine learning use cases from ingestion through production.
Design and implement lakehouse architectures , following medallion architecture principles to ensure scalability, data quality, governance, and performance.
Build and maintain parameterized ingestion frameworks for batch and near real-time pipelines.
Design, implement, and operate CI/CD pipelines to enable reliable, automated deployments across environments.
Define, promote, and enforce Databricks best practices , including the use of Feature Store, MLflow, Model Registry, Unity Catalog, and Databricks Asset Bundles (DAB).
Act as a technical leader and mentor , confidently guiding and constructively challenging junior-to-mid-level Databricks and ML engineering teams.
Assess existing data platforms and pipelines, identifying opportunities to improve performance, cost efficiency, security, and maintainability.
Partner closely with architects, data scientists, engineers, and business stakeholders in a fast-paced consulting environment.
Communicate technical decisions clearly and persuasively to both technical and non-technical audiences, demonstrating strong consulting presence.

Proven, end-to-end, hands-on experience as a seasoned Databricks user , including implementation of platform best practices such as Feature Store, MLflow, Unity Catalog, Model Registry, and Databricks Asset Bundles (DAB).
Demonstrated experience creating and orchestrating CI/CD deployment pipelines for data and ML solutions.
Concrete experience deploying machine learning workflows into production environments.
Strong, well-rounded data engineering background , including deep understanding of medallion architectures and the design of parameterized ingestion frameworks.
Ability to act as a clear, confident technical leader , capable of challenging and guiding junior and mid-level Databricks ML teams toward best-practice implementations.
Excellent communication skills with the ability to influence and lead in client-facing and team-based settings.
Native-level or fully fluent English is critical ; French is a meaningful advantage.

A stimulating environment where you will be able to surpass yourself and discover new horizons;
A strong culture of innovation and entrepreneurship;
Many occasions to celebrate your success : 5 @ 7, team activities, birthdays, breakfasts and other special events;
Group insurance for you and your family members;
RRSP and DPSP participation plan;
Monthly Wellness Allowance;
Reimbursement of telecommunication costs;
Flexible work from home policy;
4 weeks of paid vacation;
Language courses (French & English);
Access to continuing education (in-house, conferences, events, courses, certifications, etc.);
Development plan for each employee and coaching.