Senior Data Engineer Consultant (Databricks)

Keyrus Canada EN • Montreal, QC

1d • Hybrid

About The Position

As a Senior Data Engineer with a Databricks focus, you will play a critical role in designing, building, and evolving modern data platforms and advanced analytics solutions for enterprise clients. This role is ideal for a senior-level professional who brings strong hands-on expertise, ownership across the full data lifecycle, and the confidence to lead technically, influence teams, and drive best practices in complex, client-facing environments.

Requirements

• 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.

Nice To Haves

• Prior experience in data or technology consulting, working directly with enterprise clients.
• Strong experience with Apache Spark / PySpark and performance optimization on Databricks.
• Experience working in cloud environments such as Azure, AWS, or GCP and their associated data services.
• Familiarity with orchestration and transformation tools such as dbt, Airflow, or equivalent.
• Advanced exposure to MLOps, data governance, and security in distributed data platforms.
• A proactive mindset focused on innovation, continuous improvement, and staying current with evolving Databricks capabilities.

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.

Benefits

• 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

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed
• Number of Employees: 501-1,000 employees