Data Tech Lead | Latam

Cuesta Partners; Perímetro Urbano Medellín; Hybrid; COP 296,087,938 - 370,109,923; Full time

Benefits offered by this job

Comprehensive Health Plan

Team Engagement Activities

Annual Performance Bonus

Growth Opportunities

Flexible Work

Paid Time Off & Holidays

Job summary

Cuesta Partners is seeking a Data Technical Lead located in Colombia, Antioquia. This role involves providing guidance on data engineering practices, engaging with clients for their data requirements, and leading projects that deliver impactful data solutions. Candidates should have 8-10 years in data engineering, proficiency in data modeling, ETL processes, and experience with AI-assisted development tools. Benefits include health coverage, flexible work, and opportunities for growth.

Qualifications

• Proven 8-10 years experience as a Data Engineer or similar role.
• Active experience using AI-assisted development tools.
• Strong background in designing and implementing data solutions.

Responsibilities

• Provide guidance and support to resolve technical challenges in data engineering.
• Lead planning and execution of data projects adhering to quality standards.
• Collaborate with Data Scientists and Analysts for seamless execution.

Skills

Data modeling

ETL processes

Data integration

AI-assisted development tools

Leadership skills

Effective communication

Problem-solving

Critical thinking

Education

Bachelor's or Master's degree in Computer Science, Engineering, or related field

Tools

AWS

Azure

GCP

SQL

Python

Spark

Job description

Overview

Cuesta Partners is looking for a Data Technical Lead in Latin America 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 data warehousing solutions, cloud platforms (e.g., AWS, Azure, GCP), and relevant tools (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 tool‑ed 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.

Why You’ll Love Working With Us

• Comprehensive Health Plan: Pre‑paid health coverage for you and your immediate family.
• Team Engagement Activities: Fun and meaningful events to connect and grow together.
• Annual Performance Bonus: Recognition and reward for your hard work.
• Growth Opportunities: Career development and advancement within the company.
• Flexible Work: Hybrid model with mostly remote work and one day per week in the office for team connection.
• Paid Time Off & Holidays: Generous leave to recharge and spend time with loved ones.

…and more! Additional perks and initiatives to make your experience at Cuesta Partners even better.