Tech Lead | Canada

Praxy; Canada; Hybrid; CAD 140,000 - 275,000; Full time

Benefits offered by this job

Annual bonus 15-25%

Remote work

Job summary

Cuesta Partners is seeking a Data Technical Lead in Canada to deliver end-to-end data environments for a broad client base, mentoring others and advancing modern practices. You will shape and implement data architectures, drive scalable pipelines, and ensure data quality across engagements.

The role emphasizes leadership, collaboration with Data Scientists and stakeholders, and leveraging AI-assisted tooling to accelerate delivery from design to deployment. Occasional US travel may be required.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• 8–10 years of experience as a Data Engineer or similar role.
• Hands-on experience with AI-assisted development tools in daily workflow.
• Strong data modeling, ETL, and data integration skills.
• Experience with Databricks, Snowflake, and Microsoft Fabric is a plus.
• Proven leadership and ability to guide a technical team.

Responsibilities

• Act as a subject matter expert in data engineering and optimize performance.
• Lead architectural discussions and trade-offs.
• Set AI-augmented development standards and coach the team.
• Plan, execute, and deliver client-facing and internal data projects.
• Collaborate with Data Scientists, Analysts, and Stakeholders.
• Define technology strategy with the Data Team.
• Design scalable data architectures for client engagements.
• Foster knowledge sharing and continuous learning.
• Identify opportunities to improve processes and tools.

Skills

Data modeling

ETL processes

Data integration

Leadership

Communication

AI-assisted development

Education

Bachelor's or Master's in CS/Engineering

Tools

Databricks

Snowflake

Microsoft Fabric

SQL

Python

Spark

Job description

Cuesta Partners is looking for a Data Technical Lead in Canada with an interest in consulting, to work with our broad base of clients on various engagements, delivering data environments quickly using modern technologies and best practices, while mentoring others.

As a member of our data practice, you will have the unique opportunity to shape and build various green field areas, making a lasting impact on our clients’ data landscape. Collaborating closely with leadership, you will play a key role in establishing technology best practices to deliver analytical insights for customers in strategic domains. Your mission will be to deliver end-to-end data solutions, leveraging your expertise to unlock valuable insights and drive actionable decisions. As the driving force behind the acquisition and transformation of data sets, your contribution will be key to unlocking analytics insights from our client’s data. You will ensure that data models are reusable, data pipelines are scalable, and data visualizations are impactful. Your expertise in choosing, developing and optimizing data technology environments will be instrumental in driving our data-driven initiatives forward. This role ensures that development follows standards, specifications, controls, audits, and procedures to ensure data integrity, quality, accuracy, usefulness, and timeliness. While the role is remote, occasional though infrequent travel to the United States may be required for some critical sessions.

What We're Looking For:

• Bachelor's or Master's degree in Computer Science, Engineering, or related field.
• Proven 8-10 years experience as a Data Engineer or similar role, with a strong background in designing and implementing data solutions.
• Active, hands-on experience using AI-assisted development tools (e.g., Cursor, Claude Code, Codex, or similar) in your daily workflow — including building working prototypes, agentic pipelines, RAG systems, or LLM-powered data and analytics products — is a strong asset.
• Proficiency in data modeling, ETL processes, and data integration.
• Experience with modern data platforms such as Databricks, Snowflake, and Microsoft Fabric is a plus.
• Experience with data warehousing solutions, cloud platforms (e.g., AWS, Azure, GCP), and relevant tools (e.g.,SQL, Python, Spark).
• Strong leadership and team management skills, with the ability to inspire and guide a technical team.
• Excellent problem-solving and critical-thinking abilities.
• Effective communication skills, both technical and non-technical, with the ability to interact with clients and stakeholders.
• Adept at balancing technical requirements with business goals and client needs.

What You'll Do

• Act as a subject matter expert in data engineering, providing guidance and hands-on support to resolve technical challenges and optimize performance.
• Lead architectural discussions, providing insights into design decisions and trade-offs.
• Set the standard for AI-augmented development practices — ensuring projects are structured and tooled in ways that allow coding agents to operate effectively, and coaching the team to work the same way.
• Lead the planning, execution, and delivery of client-facing and internal data projects, ensuring adherence to project timelines, scope, and quality standards.
• Collaborate with cross-functional teams, including Data Scientists, Analysts, and Business Stakeholders, to ensure seamless project execution.
• Collaborate closely with the Team Lead to define the technology strategy and roadmap for the Data Team.
• Serve as a data architect for client engagements, working closely with clients to understand their data requirements, design appropriate data architectures, and develop scalable solutions.
• Foster a collaborative and inclusive team culture, promoting knowledge sharing and continuous learning among team members.
• Identify opportunities to improve processes, tools, and methodologies, driving efficiency and innovation within the Data Team.

CompensationExpected salary range is $140K–$275K CAD annually. We’re hiring for multiple positions with varying levels of experience and seniority. Actual compensation will be determined based on the candidate’s experience, qualifications, and alignment with role expectations.

In addition to the base salary, there is typically an annual bonus of between 15-25% of the salary (depending on your performance and the firm's performance)

Pay

Compensation Expected salary range is $140K–$275K CAD