Senior Data Engineering Leader - Databricks & Cloud(Hybrid)

Keyrus US; Montreal; Hybrid; CAD 90,000 - 130,000; Full time

Job summary

A leading data solutions provider is seeking a senior managing consultant in Montreal to oversee data engineering projects, leveraging expertise in Databricks, Microsoft Fabric, Snowflake, and Azure. This leadership role combines strategic oversight with hands-on responsibilities, guiding the team to deliver innovative data solutions and influence the go-to-market strategy. Candidates should have over 10 years of experience in data engineering, including experience in managing teams and driving solutions in consulting environments. Join a firm that values diversity and growth with a culture of innovation and an excellent benefits package.

Benefits

Group insurance for you and family members

4 weeks of paid vacation

Flexible work from home policy

Access to continuing education

Qualifications

• 10+ years of experience in data engineering, including 5+ years in a senior, principal, or architect-level leadership role.
• Hands-on expertise designing and optimizing data pipelines and architectures.
• Experience managing and mentoring a team of consultants or data engineers.

Responsibilities

• Collaborate with clients to understand business objectives and technical requirements.
• Lead end-to-end delivery of data initiatives using modern cloud tools.
• Manage a technical team, providing guidance, mentoring, and support.

Skills

Data engineering

Databricks

Microsoft Fabric

Snowflake

Azure Data Services

Strong communication

Leadership

Education

Bachelor’s in computer science, IT, or related field

Tools

Azure Data Factory

Azure Synapse

ADLS

Job description

A leading data solutions provider is seeking a senior managing consultant in Montreal to oversee data engineering projects, leveraging expertise in Databricks, Microsoft Fabric, Snowflake, and Azure. This leadership role combines strategic oversight with hands-on responsibilities, guiding the team to deliver innovative data solutions and influence the go-to-market strategy. Candidates should have over 10 years of experience in data engineering, including experience in managing teams and driving solutions in consulting environments. Join a firm that values diversity and growth with a culture of innovation and an excellent benefits package.