Lead Data Engineer

Datavail

Lead Data Engineer at Datavail creating and delivering data architectures for various client projects. Involves mentorship, technical leadership, and collaboration with data professionals.

Posted 7/31/2026full-timeRemote • 🇨🇴 ColombiaSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing end-to-end data architectures and implementing data engineering best practices, including data modeling, ETL/ELT development, and cloud platform utilization. Proven ability to lead technical teams, mentor engineers, and align technical delivery with client objectives while ensuring data accuracy and integrity.

Highest-signal resume keywords

Data EngineeringData ModelingETL/ELT DevelopmentCloud Platform ExperienceTechnical Leadership

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

SQLPythonData IntegrationDevOpsSDLCInfrastructure as CodeDistributed Processing FrameworksAI-Augmented DevelopmentData Warehousing TechnologiesPerformance Optimization

Soft Skills

Analytical SkillsProblem-SolvingCommunication SkillsMentoringKnowledge Sharing

Tools & Technologies

AWSAzureGCPAzure DevOpsGitHub ActionsGitLabTerraformCursorClaude CodeCodex

Certifications & Qualifications

Bachelor’s DegreeMaster’s Degree

Industry Keywords

ConsultingProfessional ServicesData AccuracyData IntegrityContinuous Improvement

Tech Stack

Tools & technologies

AWSAzureCloudETLGoogle Cloud PlatformPythonSDLCSparkSQLTerraform

About the role

Key responsibilities & impact

Design end-to-end data architectures for client engagements, including ingestion, transformation, modeling, warehousing, and analytics delivery.
Lead the technical execution of client-facing and internal data projects, maintaining accountability for timelines, scope, and quality.
Provide subject-matter expertise across the data engineering lifecycle, including hands-on support for complex technical issues and performance optimization.
Facilitate architecture and design reviews, articulating options, trade-offs, and recommendations to technical and business audiences.
Establish and enforce engineering standards, controls, and audit procedures that safeguard data accuracy, integrity, and timeliness.
Define and promote AI-augmented development practices, including structuring projects for effective use of coding agents and coaching team members in these workflows.
Partner with data scientists, analysts, business stakeholders, and practice leadership to align technical delivery with client objectives and the team’s broader technology roadmap.
Mentor engineers, encourage knowledge sharing, and contribute to a culture of continuous improvement across the practice.
Identify and implement improvements to delivery processes, tooling, and methodology.
Design and implement DevOps and SDLC strategies and best practices for customers.

Requirements

What you’ll need

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.
8–10 years of professional experience in data engineering, including demonstrated success designing and delivering production data solutions.
Expertise in data modeling, ETL/ELT development, and data integration.
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and modern data warehousing technologies.
Advanced proficiency in SQL and Python; experience with Spark or comparable distributed processing frameworks.
Prior technical leadership experience, with the ability to direct and develop engineering teams.
Excellent analytical, problem-solving, and communication skills, with the ability to engage effectively with clients, executives, and technical staff.
Ability to balance technical rigor with business priorities, budgets, and client constraints.
Experience architecting and implementing SDLC and DevOps best practices, including but not limited to version control, deployment pipelines, Infrastructure as Code (IaC), Azure DevOps, GitHub Actions, GitLab, Terraform, and Declarative Automation Bundles
Active, day-to-day use of AI-assisted development tools (e.g., Cursor, Claude Code, Codex) as part of a professional engineering workflow.
Experience building agentic pipelines, retrieval-augmented generation (RAG) systems, or LLM-powered data and analytics products.
Prior experience in a consulting or professional services environment.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account Datavail Website LinkedIn All Job Openings 1001 - 5000 employees Founded 2007 💼 Consulting 🏥 Healthcare 📦 Logistics Consulting
Healthcare
Logistics Datavail is a comprehensive IT solutions provider specializing in analytics, application development, database administration, and cloud services. Their offerings span advanced analytics consulting, cloud migration and management, and application modernization, ensuring clients can leverage their data for competitive advantage. Datavail focuses on delivering tailored solutions to enhance data management and operational efficiency across various sectors. Lead Data Engineer Job not on LinkedIn 🔥 0 minutes ago 🇨🇴 Colombia – Remote ⏰ Full Time 🟠 Senior 🚰 Data Engineer AWS Azure Cloud ETL Google Cloud Platform Python SDLC Spark SQL Terraform Apply Now Find Hiring Managers Customize resume + cover letter Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Design end-to-end data architectures for client engagements, including ingestion, transformation, modeling, warehousing, and analytics delivery.
Lead the technical execution of client-facing and internal data projects, maintaining accountability for timelines, scope, and quality.
Provide subject-matter expertise across the data engineering lifecycle, including hands-on support for complex technical issues and performance optimization.
Facilitate architecture and design reviews, articulating options, trade-offs, and recommendations to technical and business audiences.
Establish and enforce engineering standards, controls, and audit procedures that safeguard data accuracy, integrity, and timeliness.
Define and promote AI-augmented development practices, including structuring projects for effective use of coding agents and coaching team members in these workflows.
Partner with data scientists, analysts, business stakeholders, and practice leadership to align technical delivery with client objectives and the team’s broader technology roadmap.
Mentor engineers, encourage knowledge sharing, and contribute to a culture of continuous improvement across the practice.
Identify and implement improvements to delivery processes, tooling, and methodology.
Design and implement DevOps and SDLC strategies and best practices for customers. 🎯 Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related technical discipline.
8–10 years of professional experience in data engineering, including demonstrated success designing and delivering production data solutions.
Expertise in data modeling, ETL/ELT development, and data integration.
Hands-on experience with at least one major cloud platform (AWS, Azure, or GCP) and modern data warehousing technologies.
Advanced proficiency in SQL and Python; experience with Spark or comparable distributed processing frameworks.
Prior technical leadership experience, with the ability to direct and develop engineering teams.
Excellent analytical, problem-solving, and communication skills, with the ability to engage effectively with clients, executives, and technical staff.
Ability to balance technical rigor with business priorities, budgets, and client constraints.
Experience architecting and implementing SDLC and DevOps best practices, including but not limited to version control, deployment pipelines, Infrastructure as Code (IaC), Azure DevOps, GitHub Actions, GitLab, Terraform, and Declarative Automation Bundles
Active, day-to-day use of AI-assisted development tools (e.g., Cursor, Claude Code, Codex) as part of a professional engineering workflow.
Experience building agentic pipelines, retrieval-augmented generation (RAG) systems, or LLM-powered data and analytics products.
Prior experience in a consulting or professional services environment. Apply Now 📊 Check your resume score for this job Improve your chances of getting an interview by checking your resume score before you apply. Check Resume Score Similar Jobs Senior Data MDM Architect 🔥 5 hours ago CI&T 5001 - 10000 💼 Consulting 🏥 Healthcare 📣 Marketing Website LinkedIn All Job Openings Senior Data MDM Architect designing data architecture solutions for enterprise clients in sustainability and financial trading. Collaborating with US-based teams and ensuring data integrity across platforms. 🇨🇴 Colombia – Remote 💰 $5.5M Venture Round on 2014-04 ⏰ Full Time 🟠 Senior 🚰 Data Engineer Azure Cloud ERP Data Engineer 🕒 Yesterday Blend360 501 - 1000 🏥 Healthcare 🏨 Hospitality ✈️ Travel Website LinkedIn All Job Openings Data Engineer Analyst designing and implementing scalable data solutions to support business workflows. Collaborating with teams to ensure data quality and performance in enterprise initiatives. 🇨🇴 Colombia – Remote 💰 $100M Private Equity Round on 2022-08 ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer AWS Cloud Data Architect 🕒 2 days ago Newton Vision Co. 51 - 200 💼 Consulting 🤖 Artificial Intelligence 🏢 Enterprise Website LinkedIn All Job Openings Senior Data Engineer responsible for developing and optimizing data systems in Azure cloud environment. Collaborating with teams to deliver high-quality data-driven solutions and maintaining data integrity. 🇨🇴 Colombia – Remote ⏰ Full Time 🟡 Mid-level 🟠 Senior 🚰 Data Engineer Azure Cloud ETL Python SQL Data Engineer Manager 🕒 2 days ago Blend360 501 - 1000 🏥 Healthcare 🏨 Hospitality ✈️ Travel Website LinkedIn All Job Openings Data Engineer Manager leading design and scaling of data solutions for analytics at Blend. Mentoring team and driving technical strategy for data platforms. 🇨🇴 Colombia – Remote 💰 $100M Private Equity Round on 2022-08 ⏰ Full Time 🟠 Senior 🔴 Lead 🚰 Data Engineer Senior Data Engineer 🕒 2 days ago Aimpoint Digital 51 - 200 🤖 Artificial Intelligence 💼 Consulting Website LinkedIn All Job Openings Senior Data Engineer at Aimpoint Digital working with clients to design analytical solutions. Building cloud data warehouses and data lakes to solve diverse business problems. 🇨🇴 Colombia – Remote ⏰ Full Time 🟠 Senior 🚰 Data Engineer Amazon Redshift Apache AWS Azure BigQuery Cloud Docker ETL Google Cloud Platform Informatica Java Kubernetes Matillion Python Scala Spark SQL View More Data Engineer Jobs 🌐 Worldwide Built by Lior Neu-ner. I'd love to hear your feedback — Get in touch via DM or support@remoterocketship.com Search Search Jobs by country Search jobs by city Search jobs by job title Search entry-level jobs Search junior-level jobs Search senior-level jobs Search jobs by tech stack Search jobs by contract type Search remote internships Search remote part-time jobs Remote jobs Anywhere in the World Companies Hiring Anywhere in the World Companies Hiring Sales People Anywhere in the World Companies Hiring Software Engineers Anywhere in the World Resources Advice Tips for finding remote jobs Interview questions and answers Resume examples Cover letter examples Post a job Affiliates Is Remote Rocketship legit? Privacy policy Terms of service Job board SEO course Remote Job Search MasterClass AI Apply Copilot OpenClaw job finder Find jobs using your resume Jobs by Country Remote jobs anywhere in the world (Worldwide remote jobs) Remote jobs United States Remote jobs Australia Remote jobs Brazil Remote jobs Canada Remote jobs France Remote jobs Ireland Remote jobs Germany Remote jobs Netherlands Remote jobs Spain Remote jobs UK Popular Jobs Remote data analyst jobs Remote customer support jobs Remote executive assistant jobs Remote marketing jobs Remote product designer jobs Remote product manager jobs Remote project manager jobs Remote recruiter jobs Remote sales jobs Remote software engineer jobs Jobs by Type Remote full-time jobs Remote part-time jobs Remote contract jobs Remote internship jobs Remote entry-level jobs Remote jobs with no experience required Remote junior jobs (1-3 years of experience) Digital nomad jobs Remote jobs with no degree required Freelance remote jobs Temporary remote jobs Remote jobs hiring now Stay at home mom jobs