📍 Job Overview

Job Title: Senior Data Platform Engineer (OpenMetadata) - GTM Data Leader
Company: Truelogic
Location: Colombia
Job Type: Full-time, Remote
Category: Data Engineering, Platform Engineering
Date Posted: August 9, 2025
Experience Level: Mid-Senior level (5-10 years)
Remote Status: Remote (100%)

🚀 Role Summary

Key Responsibilities: Enhance and optimize enterprise-scale metadata management environment built on OpenMetadata. Focus on extending platform functionality, improving ingestion pipelines, and ensuring system reliability.
Key Technologies: OpenMetadata, ECS (AWS), Airflow, RDS, OpenSearch/Elasticsearch, Python, Okta, Kubernetes/ECS, Apache Airflow, PostgreSQL/MySQL, OpenSearch/Elasticsearch.
Key Skills: Data Engineering, Platform Engineering, OpenMetadata, ECS, Airflow, RDS, OpenSearch, Python, RBAC, Container Orchestration, Infrastructure Automation, Performance Optimization, Problem-Solving, Production-Grade Solutions.

📝 Enhancement Note: This role requires a strong background in data engineering and platform engineering, with a focus on metadata management and integration with modern data stacks. Proficiency in OpenMetadata, ECS, Airflow, RDS, and OpenSearch/Elasticsearch is essential for success in this role.

💻 Primary Responsibilities

Backend Feature Development: Design, build, and maintain custom OpenMetadata connectors for metadata ingestion, extend and automate data lineage capture, debug, patch, and enhance backend features to improve stability and scalability.
System Reliability: Manage containerized deployments (Kubernetes/ECS) and implement monitoring solutions, optimize storage and retrieval using RDS (PostgreSQL/MySQL) and OpenSearch/Elasticsearch, orchestrate metadata workflows with Apache Airflow and integrate with existing pipelines.
Security and Access Control: Implement and maintain RBAC with Okta, supporting clear role separation, oversee upgrade management, backup strategies, and high-availability configurations.
Collaboration: Work closely with platform engineers and take full ownership of feature development and operational stability for the metadata platform.

📝 Enhancement Note: This role requires a high degree of technical ownership and collaboration with platform engineers. Candidates should be comfortable working independently and in a team environment to deliver production-grade, scalable solutions.

🎓 Skills & Qualifications

Education: Bachelor's degree in Computer Science, Engineering, or a related field. Relevant experience may be considered in lieu of a degree.

Experience: 5+ years in data engineering or platform engineering roles, with hands-on OpenMetadata experience.

Required Skills:

Proficiency in ECS (AWS), Airflow, RDS, and OpenSearch/Elasticsearch.
Strong Python development skills for API integrations and connector development.
Proven experience implementing RBAC and identity management integrations (e.g., Okta).
Skilled in container orchestration, infrastructure automation, and performance optimization.
Ability to merge and manage open-source updates into customized codebases.
Strong problem-solving skills and a track record of delivering production-grade, scalable solutions.

Preferred Skills:

Experience with Kubernetes and ECS deployments.
Familiarity with Apache Airflow and data pipeline management.
Knowledge of RDS and OpenSearch/Elasticsearch optimization techniques.
Experience with metadata management and data governance tools.
Familiarity with Go-to-Market (GTM) data strategies and sales enablement.

📝 Enhancement Note: While the required skills list is comprehensive, candidates with a strong background in data engineering and platform engineering, along with relevant experience in OpenMetadata and the specified technologies, are encouraged to apply. Relevant certifications and additional skills can further strengthen the application.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

A well-documented portfolio showcasing previous data engineering and platform engineering projects, with a focus on metadata management and integration with modern data stacks.
Examples of custom OpenMetadata connectors developed and data lineage capture implementations.
Demonstrations of backend feature development, system reliability improvements, and security enhancements.

Technical Documentation:

Detailed documentation of past projects, including code quality, commenting, and documentation standards.
Version control, deployment processes, and server configuration documentation.
Testing methodologies, performance metrics, and optimization techniques used in previous projects.

📝 Enhancement Note: As this role focuses on data engineering and platform engineering, candidates should emphasize their technical skills and provide detailed documentation of their past projects, highlighting their ability to deliver production-grade, scalable solutions.

💵 Compensation & Benefits

Salary Range: Competitive USD pay, going beyond typical market offerings. The exact salary range is not specified, but Truelogic is known for offering market-leading compensation for remote roles.

Benefits:

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive, with a laptop and reliable internet connection.
Paid Time Off: Truelogic values your well-being and offers paid time off policies to ensure you have the chance to unwind and recharge when needed.
Work with Autonomy: Enjoy the freedom to manage your time as long as the work gets done. Focus on results, not the clock.
Work with Top American Companies: Grow your expertise working on innovative, high-impact projects with Industry-Leading U.S. Companies.

📝 Enhancement Note: Truelogic offers a highly competitive USD salary and attractive benefits for remote workers. The salary range is not specified, but candidates can expect market-leading compensation for this role.

🎯 Team & Company Context

Company Culture: Truelogic is a leading provider of nearshore staff augmentation services, headquartered in New York. They deliver top-tier technology solutions to companies of all sizes, from innovative startups to industry leaders. Truelogic values work-life balance, engagement activities, and fostering dynamic teams to ensure employees thrive both personally and professionally.

Team Structure: The team for this role will consist of platform engineers, with whom the Senior Data Platform Engineer will collaborate closely. The team is expected to be highly skilled and experienced, with a focus on delivering production-grade, scalable solutions.

Development Methodology: Truelogic uses Agile methodologies for project management, with a focus on collaboration, iteration, and continuous improvement. The team will work together to define sprint goals, prioritize tasks, and ensure project milestones are met.

Company Website: Truelogic

📝 Enhancement Note: Truelogic's company culture emphasizes work-life balance, engagement activities, and dynamic teams. Candidates can expect to work in a collaborative environment with highly skilled professionals, using Agile methodologies for project management.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the mid-senior level, requiring 5+ years of experience in data engineering or platform engineering. The role offers significant opportunities for career growth and technical leadership within the metadata management and data integration domains.

Reporting Structure: The Senior Data Platform Engineer will report directly to the CTO or a senior data engineering manager, depending on the company's organizational structure.

Technical Impact: This role has a significant impact on the company's go-to-market intelligence platform, ensuring accurate and up-to-date metadata management, data lineage, and integration with modern data stacks. The Senior Data Platform Engineer will be responsible for enhancing the platform's functionality, improving ingestion pipelines, and ensuring system reliability.

Growth Opportunities:

Technical Growth: Candidates can expect to gain experience with OpenMetadata, ECS, Airflow, RDS, and OpenSearch/Elasticsearch, as well as honing their Python development skills and container orchestration expertise.
Leadership Growth: As the team grows, there may be opportunities for the Senior Data Platform Engineer to take on a leadership role, mentoring junior team members and driving technical decision-making.
Career Progression: With experience and success in this role, candidates may progress to become a Principal Data Engineer, Data Engineering Manager, or take on other senior technical leadership roles within the organization.

📝 Enhancement Note: This role offers significant opportunities for career growth and technical leadership within the metadata management and data integration domains. Candidates can expect to work on cutting-edge technologies and have a significant impact on the company's go-to-market intelligence platform.

🌐 Work Environment

Office Type: Truelogic is a remote-first company, with no physical office locations. Employees are free to work from the location that helps them thrive, with a laptop and reliable internet connection.

Office Location(s): As a remote-first company, Truelogic does not have physical office locations. Employees can work from anywhere in the world, with a focus on time zone alignment with the company's primary client base in the Americas.

Workspace Context:

Remote Workspace: Truelogic provides employees with the necessary tools and equipment to work effectively from a remote location, including a laptop and any required software licenses.
Collaboration Tools: Truelogic uses collaboration tools such as Slack, Microsoft Teams, or other platforms to facilitate communication and teamwork among remote employees.
Team Interaction: Truelogic fosters a dynamic and inclusive team culture, with regular engagement activities and opportunities for professional development.

Work Schedule: Truelogic operates on a standard workweek, with core hours aligned with the company's primary client base in the Americas. Employees are expected to be available during these core hours but have flexibility in their daily schedule.

📝 Enhancement Note: Truelogic's remote-first work environment offers employees the freedom to work from the location that helps them thrive, with a focus on time zone alignment with the company's primary client base in the Americas. The company provides the necessary tools and equipment for remote work and fosters a dynamic and inclusive team culture.

📄 Application & Technical Interview Process

Interview Process:

Resume Screening: Truelogic will review your resume and portfolio to ensure your qualifications match the role's requirements.
Technical Phone Screen: A brief phone or video call to assess your technical skills and cultural fit with the company.
Technical Deep Dive: A more in-depth technical interview focused on your data engineering and platform engineering skills, as well as your experience with OpenMetadata, ECS, Airflow, RDS, and OpenSearch/Elasticsearch.
Final Interview: A conversation with the hiring manager or a senior team member to discuss your career goals, expectations, and fit within the team.

Portfolio Review Tips:

Project Selection: Highlight projects that demonstrate your data engineering and platform engineering skills, with a focus on metadata management and integration with modern data stacks.
Documentation: Provide clear and concise documentation of your projects, including code quality, commenting, and documentation standards.
Presentation: Prepare a live demo or presentation of your projects, showcasing your ability to deliver production-grade, scalable solutions.

Technical Challenge Preparation:

Data Engineering Challenges: Brush up on your data engineering skills, with a focus on metadata management, ingestion pipelines, and data lineage capture.
Platform Engineering Challenges: Review your platform engineering skills, with an emphasis on backend feature development, system reliability, and security enhancements.
OpenMetadata Challenges: Familiarize yourself with OpenMetadata's features, connectors, and best practices for metadata management and integration with modern data stacks.

📝 Enhancement Note: Truelogic's interview process is designed to assess candidates' technical skills and cultural fit with the company. Candidates should be prepared to demonstrate their data engineering and platform engineering skills, with a focus on metadata management and integration with modern data stacks.

🛠 Technology Stack & Web Infrastructure

Backend & Server Technologies:

OpenMetadata: The core technology stack for this role, focusing on metadata management, ingestion pipelines, and data lineage capture.
ECS (AWS): Truelogic uses ECS for container orchestration and deployment, requiring proficiency in AWS services and ECS best practices.
Airflow: Truelogic uses Apache Airflow for orchestrating metadata workflows and integrating with existing pipelines.
RDS: Truelogic uses RDS for relational database management, requiring proficiency in PostgreSQL, MySQL, or other supported databases.
OpenSearch/Elasticsearch: Truelogic uses OpenSearch/Elasticsearch for search and analytics, requiring proficiency in indexing, querying, and performance optimization techniques.

Development & DevOps Tools:

Git: Truelogic uses Git for version control and collaborative development, requiring proficiency in branching, merging, and pull request workflows.
Docker: Truelogic uses Docker for containerization and deployment, requiring proficiency in Dockerfile creation and management.
Kubernetes/ECS: Truelogic uses Kubernetes and ECS for container orchestration and deployment, requiring proficiency in cluster management, scaling, and monitoring.
Terraform: Truelogic uses Terraform for infrastructure as code (IaC) and provisioning, requiring proficiency in Terraform configuration and state management.

📝 Enhancement Note: Truelogic's technology stack focuses on metadata management, ingestion pipelines, and data integration with modern data stacks. Candidates should be proficient in OpenMetadata, ECS, Airflow, RDS, and OpenSearch/Elasticsearch, as well as other relevant development and DevOps tools.

👥 Team Culture & Values

Web Development Values:

Metadata Management: Truelogic prioritizes accurate and up-to-date metadata management, ensuring data quality, consistency, and lineage across the organization.
Data Integration: Truelogic emphasizes seamless integration with modern data stacks, enabling efficient data flow and analysis.
Scalability and Performance: Truelogic focuses on delivering production-grade, scalable solutions that can handle the demands of a growing business.
Security and Compliance: Truelogic prioritizes data security and compliance, ensuring the protection of sensitive information and adherence to industry standards.

Collaboration Style:

Cross-Functional Collaboration: Truelogic fosters collaboration between data engineering, platform engineering, and other teams, ensuring alignment with business goals and user needs.
Peer Review and Code Quality: Truelogic emphasizes peer review and code quality, ensuring the delivery of high-quality, maintainable, and secure solutions.
Continuous Learning and Improvement: Truelogic encourages a culture of continuous learning and improvement, with regular training, workshops, and knowledge-sharing opportunities.

📝 Enhancement Note: Truelogic's web development values focus on metadata management, data integration, scalability, performance, and security. The company fosters a collaborative culture, with a focus on cross-functional collaboration, peer review, and continuous learning.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Metadata Management: Candidates may face challenges in designing and implementing custom OpenMetadata connectors, automating data lineage capture, and optimizing metadata workflows.
Data Integration: Candidates may encounter challenges in integrating OpenMetadata with modern data stacks, ensuring seamless data flow and analysis.
Scalability and Performance: Candidates may need to address performance bottlenecks, optimize ingestion pipelines, and enhance system reliability to meet the demands of a growing business.
Security and Compliance: Candidates may need to implement and maintain RBAC, ensure data privacy, and adhere to industry-specific compliance standards.

Learning & Development Opportunities:

Technical Skill Development: Candidates can expect to gain experience with OpenMetadata, ECS, Airflow, RDS, and OpenSearch/Elasticsearch, as well as honing their Python development skills and container orchestration expertise.
Career Progression: With experience and success in this role, candidates may progress to become a Principal Data Engineer, Data Engineering Manager, or take on other senior technical leadership roles within the organization.
Conference Attendance and Certification: Truelogic encourages employees to attend industry conferences, obtain relevant certifications, and engage with the data engineering and platform engineering community to stay current with the latest trends and best practices.

📝 Enhancement Note: This role presents significant technical challenges and learning opportunities in metadata management, data integration, scalability, performance, and security. Candidates can expect to gain valuable experience and advance their careers within the data engineering and platform engineering domains.

💡 Interview Preparation

Technical Questions:

OpenMetadata: Candidates should be prepared to discuss their experience with OpenMetadata, including connector development, data lineage capture, and platform customization.
ECS (AWS): Candidates should be familiar with ECS best practices, container orchestration, and deployment strategies.
Airflow: Candidates should be prepared to discuss their experience with Apache Airflow, including workflow orchestration, pipeline management, and data integration.
RDS: Candidates should have a solid understanding of RDS, including database management, performance optimization, and backup strategies.
OpenSearch/Elasticsearch: Candidates should be proficient in OpenSearch/Elasticsearch indexing, querying, and performance optimization techniques.

Company & Culture Questions:

Truelogic Culture: Candidates should research Truelogic's company culture, values, and engagement activities to demonstrate their fit within the organization.
Remote Work: Candidates should be prepared to discuss their experience with remote work, including time management, communication, and collaboration strategies.
Data-Driven Decision Making: Candidates should be familiar with Truelogic's focus on data-driven decision making, go-to-market intelligence, and sales enablement.

Portfolio Presentation Strategy:

Project Selection: Candidates should select projects that demonstrate their data engineering and platform engineering skills, with a focus on metadata management, data integration, and system reliability.
Documentation: Candidates should provide clear and concise documentation of their projects, including code quality, commenting, and documentation standards.
Live Demo: Candidates should prepare a live demo or presentation of their projects, showcasing their ability to deliver production-grade, scalable solutions.

📝 Enhancement Note: Truelogic's interview process focuses on assessing candidates' technical skills and cultural fit with the company. Candidates should be prepared to discuss their experience with OpenMetadata, ECS, Airflow, RDS, and OpenSearch/Elasticsearch, as well as their understanding of Truelogic's company culture and data-driven decision-making approach.

📌 Application Steps

To apply for this Senior Data Platform Engineer (OpenMetadata) - GTM Data Leader role at Truelogic:

Customize Your Portfolio: Tailor your portfolio to highlight projects that demonstrate your data engineering and platform engineering skills, with a focus on metadata management, data integration, and system reliability.
Optimize Your Resume: Ensure your resume emphasizes your relevant experience, skills, and accomplishments in data engineering and platform engineering, with a focus on OpenMetadata, ECS, Airflow, RDS, and OpenSearch/Elasticsearch.
Prepare for Technical Challenges: Brush up on your data engineering and platform engineering skills, with a focus on metadata management, ingestion pipelines, and data lineage capture. Review your experience with OpenMetadata, ECS, Airflow, RDS, and OpenSearch/Elasticsearch.
Research Truelogic: Familiarize yourself with Truelogic's company culture, values, and engagement activities. Understand their focus on data-driven decision making, go-to-market intelligence, and sales enablement.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Senior Data Platform Engineer (OpenMetadata) - GTM Data Leader | Colombia