This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Software Engineer Data - DC Tech Lead based in Canada. As a Staff Software Engineer Data - DC Tech Lead, you will play a pivotal role in designing and scaling data infrastructure that powers advanced AI-driven solutions for enterprise customers. Working at the intersection of data engineering, machine learning, and technical leadership, you will build robust data pipelines that process high-volume datasets while shaping the technical direction of critical platform capabilities. This is an opportunity to collaborate with cross-functional teams, mentor engineers, and influence strategic decisions in a fast-growing, remote-first environment. Your work will directly improve customer onboarding, platform scalability, and the delivery of intelligent data solutions with real-world impact. \n

Accountabilities: Design, develop, and optimize large-scale ETL pipelines using modern data engineering technologies such as Python, PySpark, SQL, DBT, and cloud-based data platforms. Define the technical vision and architecture for data integration solutions, ensuring scalability, reliability, and long-term maintainability. Lead technical initiatives, mentor engineers, and provide guidance to internal teams and external contributors to drive engineering excellence. Partner closely with product managers, software engineers, and applied science teams to deliver high-quality data solutions aligned with business objectives. Build tools, frameworks, and automation that simplify customer data integrations, improve operational efficiency, and reduce manual processes. Analyze complex and imperfect datasets, developing innovative approaches to improve data quality and processing performance. Drive continuous improvements to engineering practices, balancing technical rigor with pragmatic execution to deliver meaningful business outcomes. Requirements 5+ years of experience designing, building, and maintaining large-scale data pipelines and ETL processes. Strong proficiency in Python, PySpark, SQL, and modern data platforms such as Databricks, Snowflake, or DBT. At least 2 years of experience in a technical leadership role, including mentoring engineers and leading complex technical initiatives. Solid understanding of scalable data architecture, distributed data processing, and cloud-based engineering environments. Demonstrated ability to solve complex technical challenges, work with ambiguous requirements, and deliver practical, high-impact solutions. Experience developing automation, tooling, and frameworks that improve engineering productivity and platform scalability. Excellent analytical, communication, and collaboration skills, with the ability to explain technical concepts to both technical and non-technical stakeholders. Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent practical experience. Must be authorized to work in Canada without current or future employer-sponsored immigration support. Benefits Competitive annual salary ranging from CAD $148,000 to $242,000. Remote-first work environment with flexibility to work from anywhere in Canada. Comprehensive health, dental, and vision coverage for employees and eligible dependents. Mental health resources and employee wellness support. Flexible paid time off to encourage work-life balance. Home office stipend and coworking allowance to support productive remote work. Monthly wellness and telecommunications stipends. Annual professional development budget to support continuous learning and career growth. Equity opportunities (where applicable) and competitive retirement savings benefits. Inclusive, collaborative culture focused on innovation, professional growth, and meaningful social impact.

\n How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1