Senior Databricks Data Engineer

Databricks Data Engineer - Saint Laurent Consulting (WIP)

Location: Remote (Canada) — Preference for candidates based in Alberta or candidates able to travel to Alberta regularly.

Date: 2025-11-13

About Us: Saint Laurent Consulting is partnering with a leading modern Data and Cloud Consulting Firm serving enterprise clients across North America. This firm specializes in delivering high-impact data engineering, cloud architecture, and analytics solutions that drive measurable business transformation. We are seeking an experienced Data Engineer with mandatory Databricks expertise to directly join their growing team and support a robust portfolio of critical client projects.

Role Overview: This is a remote role with occasional onsite travel to client locations in Alberta. Candidates located in Alberta—or those who can travel to Alberta on a regular basis—will be given strong consideration.As a Data Engineer, you will design, build, and optimize advanced data pipelines and data platforms using Databricks, Delta Lake, PySpark, and modern cloud technologies. You will work closely with cross-functional teams to deliver reliable, scalable, and enterprise-ready data solutions.

Key Responsibilities:

I. Core Databricks Engineering (Must-Have Expertise)

• Design and Build: Engineer and optimize high-throughput, fault-tolerant data pipelines using Databricks, PySpark, SQL, and Delta Lake.
• Orchestration & Governance: Implement end-to-end data solutions leveraging Delta Live Tables (DLT), Databricks Workflows/Jobs, Repos, and Unity Catalog for robust governance and lineage.
• Best Practices: Apply Databricks and Lakehouse architectural best practices for security, performance tuning, and CI/CD/DevOps integration.

II. Data Architecture & Enterprise Integration

• Cloud ETL/ELT: Design, maintain, and optimize complex ETL/ELT processes utilizing cloud-native services across AWS, Azure, or Google Cloud.
• Hybrid Integration: Develop secure, end-to-end data integration patterns between Databricks (Cloud) and on-premise enterprise systems (e.g., SAP, RDBMS).
• Data Modeling: Develop efficient and scalable data models for diverse structured and unstructured datasets.

III. Collaboration & Technical Leadership

• Stakeholder Alignment: Collaborate closely with BI, Analytics, and Business stakeholders to translate complex requirements into concrete, scalable technical designs.
• Thought Leadership: Actively contribute to developing internal best practices, reusable frameworks, and technical accelerators.

Qualifications

Required

• Experience: 5+ years of professional, hands-on Data Engineering experience.
• Mandatory Databricks: Proven, mandatory experience building and managing data solutions using Databricks in a production environment.
• Lakehouse Stack: Expert-level knowledge of Databricks core technologies: Delta Lake, PySpark, SQL, Lakehouse architecture, and Unity Catalog.
• Cloud Proficiency: Solid experience with one major cloud platform: AWS, Azure, or GCP.
• Technical Depth: Strong expertise in complex SQL, advanced ETL/ELT techniques, and sophisticated data modeling.
• Integration: Hands-on experience integrating Databricks with enterprise systems like SAP and establishing connections to on-premise data sources (e.g., RDBMS) via secure network tunnels.
• Travel & Location: Willingness and ability to travel to Alberta regularly for client engagements.
• Communication: Strong communication skills for interacting with technical and non-technical stakeholders.

Preferred

• Certifications: Databricks Certified Professional and/or Cloud Certifications (AWS, Azure, or GCP).
• DevOps: Experience with Git/GitHub, CI/CD pipelines, and Infrastructure as Code (IaC) tooling.

Why Join Us

• Cutting-Edge Technology: Work exclusively with modern cloud platforms and the most advanced Lakehouse architecture solutions.
• Flexibility: Enjoy a fully remote role with flexible working hours that support work-life balance.
• Growth: Significant opportunities for accelerated career growth within a high-potential, rapidly scaling consulting firm.
• Culture: Join a supportive, collaborative culture focused on technical excellence and continuous professional development.

How to Apply: If you are passionate about data engineering and are ready to take on a challenging role that will push your skills to the next level, we would love to hear from you. Apply now to join Saint Laurent Consulting and make a significant impact on our clients' data-driven success.