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About the role

  • Data Technical Lead delivering scalable data and analytics solutions for Cuesta Partners’ consulting clients. Leading architecture, AI-augmented development, and technical teams.

Responsibilities

  • Deliver data environments quickly using modern technologies and best practices
  • Shape and build greenfield data areas for clients
  • Establish technology best practices for analytical insights
  • Deliver end-to-end data solutions and unlock actionable insights
  • Acquire and transform datasets
  • Ensure data models are reusable, data pipelines are scalable, and data visualizations are impactful
  • Choose, develop, and optimize data technology environments
  • Ensure development follows standards, specifications, controls, audits, and procedures for data integrity, quality, accuracy, usefulness, and timeliness
  • Act as a data engineering subject matter expert and provide hands-on technical support
  • Lead architectural discussions and advise on design decisions and trade-offs
  • Set standards for AI-augmented development practices and coach the team
  • Lead planning, execution, and delivery of client-facing and internal data projects
  • Collaborate with Data Scientists, Analysts, Business Stakeholders, and the Team Lead
  • Define technology strategy and roadmap for the Data Team
  • Serve as data architect for client engagements and design scalable data architectures
  • Foster collaboration, knowledge sharing, and continuous learning
  • Improve processes, tools, and methodologies to drive efficiency and innovation

Requirements

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field
  • 8–10 years of experience as a Data Engineer or in a similar role
  • Strong background designing and implementing data solutions
  • Active, hands-on experience with AI-assisted development tools such as Cursor, Claude Code, Codex, or similar is a strong asset
  • Proficiency in data modeling, ETL processes, and data integration
  • Experience with data warehousing solutions
  • Experience with cloud platforms such as AWS, Azure, or GCP
  • Experience with SQL, Python, and Spark
  • Experience with modern data platforms such as Databricks, Snowflake, and Microsoft Fabric is a plus
  • Strong leadership and team management skills
  • Excellent problem-solving and critical-thinking abilities
  • Effective technical and non-technical communication skills
  • Ability to balance technical requirements with business goals and client needs
  • Must be located in Canada
  • Must provide proof of legal authorization to work in the United States

Benefits

  • Annual bonus of 15–25% of salary, depending on individual and firm performance
  • Remote work arrangement
  • Opportunity to work with a broad base of clients on varied consulting engagements
  • Mentoring and continuous learning opportunities
  • Occasional travel to the United States for critical sessions

Job type

Full Time

Experience level

Senior

Salary

CA$140,000 - CA$275,000 per year

Degree requirement

Bachelor's Degree

Tech skills

AWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL

Location requirements

RemoteCanada

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