Tech Lead

Cuesta Partners

. Deliver data environments quickly using modern technologies and best practices .

Posted 9/18/2026full-timeRemote • CanadaSenior💰 CA$140,000 - CA$275,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and implementing scalable data solutions, utilizing modern data platforms and AI-assisted development tools. Proven ability to lead data projects, collaborate with cross-functional teams, and ensure data integrity and quality.

Highest-signal resume keywords

Data EngineeringData ModelingETL ProcessesCloud Platforms (AWS, Azure, GCP)AI-Assisted Development Tools

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Solutions DesignData IntegrationSQLPythonSparkData WarehousingData VisualizationData Pipeline OptimizationData ArchitectureData Quality Assurance

Soft Skills

LeadershipProblem-SolvingCritical ThinkingCommunicationCollaboration

Tools & Technologies

DatabricksSnowflakeMicrosoft FabricCursorClaude CodeCodex

Industry Keywords

Data IntegrityData QualityData AnalyticsData GovernanceGreenfield Data Areas

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPythonSparkSQL

About the role

Key responsibilities & impact

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

What you’ll need

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

Comp & perks

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