Senior Data Engineer Consultant (Databricks)

Join KEYRUS and Shape the Future with Us!

About Keyrus

At Keyrus, we empower organizations to make their data matter. A French company with over 30 years of expertise and a presence in 29 countries worldwide, we are recognized leaders in Data Intelligence, Strategic Advisory, and AI Innovation. Our US team blends the energy of a startup with the resources of a global firm—delivering bleeding-edge solutions for clients across Financial Services, Healthcare, CPG/Retail, and more.

If you’re passionate about data, thrive on solving business challenges, and want to build what’s next — let’s talk!

Do you thrive in dynamic and challenging environments?

If technology is your passion and growth is your goal, Keyrus is the place for you. Every day here offers new challenges, learning opportunities, and the chance to make an impact.

About Keyrus US

Keyrus US is a recognized leader in Data Intelligence and AI, combining the agility of an innovative startup with the support of a global brand.

Position: Senior Data Engineer Consultant

• Location: Montreal or Toronto (Hybrid, 2 onsite, 3 remote).

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.

What You’ll Do:

• 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.
  

What We’re Looking For

Our ideal candidate brings a balance of technical skills, curiosity, and a consultative mindset:

• Minimum 8+ years of experience

• 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 .

Desirable Requirements:

• 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.
  

What we offer

• 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.

The expected annual compensation for this position ranges from $105,000 to $120,000 CAD, depending on experience, skills, location, and internal equity. This salary range is provided as a guideline and may be adjusted for the selected candidate.

Join us at Keyrus!

Keyrus believes in diversity and, therefore, we only evaluate the technical and behavioral aspects of our candidates. We encourage everyone to participate in our hiring processes, regardless of their gender, age, ethnicity, religion, identity or condition! We do not allow any type of discrimination in our team.

See you in the process!