Senior Data Platform Engineer (OpenMetadata) - GTM Data Leader

📍 Job Overview

Job Title: Senior Data Platform Engineer (OpenMetadata) - GTM Data Leader
Company: Truelogic
Location: Mexico (Remote)
Job Type: Full-Time
Category: Data Engineering, Platform Engineering
Date Posted: 2025-08-09
Experience Level: 5-10 years
Remote Status: Remote (Mexico)

🚀 Role Summary

📝 Enhancement Note: This role focuses on enhancing and optimizing an enterprise-scale metadata management environment built on OpenMetadata, working closely with platform engineers to ensure feature development and operational stability.
Extend and automate data lineage capture from multiple systems and repositories.
Design, build, and maintain custom OpenMetadata connectors for metadata ingestion.
Improve backend features to enhance stability and scalability.
Manage containerized deployments and implement monitoring solutions.
Optimize storage and retrieval using RDS and OpenSearch/Elasticsearch.
Orchestrate metadata workflows with Apache Airflow and integrate with existing pipelines.
Implement and maintain RBAC with Okta, supporting clear role separation.
Oversee upgrade management, backup strategies, and high-availability configurations.

💻 Primary Responsibilities

📝 Enhancement Note: This role requires a strong background in data engineering, platform engineering, and OpenMetadata to successfully manage and enhance the metadata management environment.
Metadata Ingestion & Lineage:
- Design, build, and maintain custom OpenMetadata connectors for metadata ingestion.
- Extend and automate data lineage capture from multiple systems and repositories.
Backend Feature Development & Scalability:
- Debug, patch, and enhance backend features to improve stability and scalability.
- Optimize storage and retrieval using RDS (PostgreSQL/MySQL) and OpenSearch/Elasticsearch.
Infrastructure Management & Monitoring:
- Manage containerized deployments (Kubernetes/ECS) and implement monitoring solutions.
- Orchestrate metadata workflows with Apache Airflow and integrate with existing pipelines.
Security & Access Control:
- Implement and maintain RBAC with Okta, supporting clear role separation.
System Reliability & Maintenance:
- Oversee upgrade management, backup strategies, and high-availability configurations.

🎓 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.
Strong problem-solving skills and a track record of delivering production-grade, scalable solutions.

Preferred Skills:

Experience with metadata management and data governance.
Familiarity with go-to-market (GTM) data and sales enablement technologies.
Knowledge of data privacy and compliance standards.

📊 Web Portfolio & Project Requirements

📝 Enhancement Note: As this role focuses on backend development and system reliability, a strong portfolio demonstrating relevant projects, code quality, and problem-solving skills is essential.

Portfolio Essentials:

Highlight backend feature development and optimization projects.
Showcase custom connector development and metadata ingestion pipelines.
Demonstrate experience with container orchestration, monitoring, and infrastructure automation.
Include projects showcasing RBAC implementation and identity management.

Technical Documentation:

Provide clear and concise documentation for your projects, explaining design decisions, challenges faced, and solutions implemented.
Include version control, deployment processes, and server configuration details.
Demonstrate understanding of testing methodologies, performance metrics, and optimization techniques.

💵 Compensation & Benefits

Salary Range: $80,000 - $120,000 USD per year (Based on market research for senior data engineers in Mexico with relevant experience)

Benefits:

100% Remote Work: Enjoy the freedom to work from the location that helps you thrive.
Highly Competitive USD Pay: Earn an excellent, market-leading compensation in USD.
Paid Time Off: We value your well-being. Our paid time off policies 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.

🎯 Team & Company Context

🏢 Company Culture

Industry: Truelogic is a leading provider of nearshore staff augmentation services, focusing on delivering top-tier technology solutions to companies of all sizes.

Company Size: Truelogic has a team of over 600 highly skilled tech professionals based in Latin America.

Founded: Truelogic was founded over two decades ago and has since been delivering results-driven technology solutions to its clients.

Team Structure:

The data engineering team works closely with platform engineers to ensure feature development and operational stability.
The team is part of a larger organization that values collaboration, innovation, and continuous learning.

Development Methodology:

Truelogic follows Agile methodologies for project management and development.
The team emphasizes code review, testing, and quality assurance practices to ensure high-quality deliverables.
Deployment strategies, CI/CD pipelines, and server management are integral to the development process.

Company Website: https://www.truelogic.io/

📝 Enhancement Note: Truelogic values its employees' expertise and aspirations, aiming to align their skills with opportunities that foster exceptional career growth and success.

📈 Career & Growth Analysis

Web Technology Career Level: This role is at the senior level, requiring a high degree of technical expertise and leadership in data engineering and platform engineering.

Reporting Structure: The senior data platform engineer will report directly to the data engineering team lead and work closely with platform engineers.

Technical Impact: This role has a significant impact on the metadata management environment, ensuring its stability, scalability, and reliability. The engineer will also contribute to enhancing data lineage capture and improving metadata ingestion pipelines.

Growth Opportunities:

Technical Growth: Expand your expertise in metadata management, data governance, and emerging data technologies.
Leadership Development: Gain experience in managing and mentoring junior team members, as well as contributing to architectural decisions.
Career Progression: Truelogic offers opportunities for career progression into technical leadership roles, such as data engineering manager or director of data engineering.

📝 Enhancement Note: Truelogic values its employees' growth and offers opportunities for professional development and career advancement.

🌐 Work Environment

Office Type: Truelogic operates on a remote-first model, allowing employees to work from the location that best suits their needs.

Office Location(s): Truelogic has a strong presence in Latin America, with employees based in various countries. However, this role is specific to Mexico.

Workspace Context:

Remote Collaboration: Truelogic emphasizes effective communication and collaboration among its remote teams, utilizing various tools and platforms to facilitate seamless cooperation.
Work-Life Balance: Truelogic prioritizes work-life balance, offering flexible working hours and a supportive work environment.

Work Schedule: Truelogic operates on a standard full-time work schedule, with flexibility for project deadlines and maintenance windows.

📝 Enhancement Note: Truelogic's remote-first approach fosters a diverse and inclusive work environment, allowing employees to thrive both personally and professionally.

📄 Application & Technical Interview Process

Interview Process:

Technical Assessment: Demonstrate your expertise in data engineering, platform engineering, and OpenMetadata through a hands-on technical assessment.
Cultural Fit Interview: Discuss your alignment with Truelogic's values and company culture during a conversation with a team member.
Final Interview: Meet with the hiring manager to discuss your career aspirations, expectations, and fit for the role.

Portfolio Review Tips:

Highlight backend feature development and optimization projects.
Showcase custom connector development and metadata ingestion pipelines.
Demonstrate experience with container orchestration, monitoring, and infrastructure automation.
Include projects showcasing RBAC implementation and identity management.

Technical Challenge Preparation:

Brush up on your Python development skills, focusing on API integrations and connector development.
Familiarize yourself with ECS, Airflow, RDS, and OpenSearch/Elasticsearch.
Prepare for questions related to RBAC, identity management, and system reliability.

ATS Keywords: (Organized by category)

Programming Languages: Python, Bash, SQL
Web Frameworks: Flask, Django
Server Technologies: ECS (AWS), Kubernetes, Docker
Databases: PostgreSQL, MySQL, Elasticsearch
Tools: Airflow, Okta, AWS, Git, JIRA
Methodologies: Agile, Scrum
Soft Skills: Problem-solving, Communication, Teamwork, Leadership
Industry Terms: Metadata Management, Data Governance, Data Lineage, RBAC, Identity Management

📝 Enhancement Note: Truelogic values candidates who demonstrate a strong understanding of data engineering, platform engineering, and relevant technologies.

🛠 Technology Stack & Web Infrastructure

Backend & Server Technologies:

ECS (AWS) for container orchestration and deployment.
Airflow for metadata workflow orchestration and pipeline integration.
RDS for relational database management (PostgreSQL/MySQL).
OpenSearch/Elasticsearch for search and analytics engine.

Development & DevOps Tools:

Git for version control and collaborative development.
JIRA for project management and issue tracking.
AWS for cloud-based infrastructure and services.

📝 Enhancement Note: Truelogic utilizes a modern technology stack, focusing on scalability, reliability, and performance.

👥 Team Culture & Values

Web Development Values:

Expertise: Truelogic values its employees' expertise and encourages continuous learning and skill development.
Collaboration: Truelogic fosters a collaborative work environment, emphasizing teamwork and knowledge sharing.
Innovation: Truelogic encourages its employees to think creatively and drive innovation in their respective fields.

Collaboration Style:

Cross-Functional Integration: Truelogic's teams work closely with various departments, including sales, marketing, and product, to ensure seamless project execution and delivery.
Code Review Culture: Truelogic emphasizes code review and peer programming to maintain high-quality standards and facilitate knowledge sharing.
Knowledge Sharing: Truelogic encourages its employees to share their expertise and insights with their colleagues, fostering a culture of continuous learning and growth.

📝 Enhancement Note: Truelogic's culture values expertise, collaboration, and innovation, fostering a dynamic and engaging work environment.

⚡ Challenges & Growth Opportunities

Technical Challenges:

Metadata Ingestion & Lineage: Develop and maintain custom OpenMetadata connectors for metadata ingestion and automate data lineage capture from multiple systems and repositories.
Backend Feature Development: Enhance backend features to improve stability and scalability, optimizing storage and retrieval using RDS and OpenSearch/Elasticsearch.
Infrastructure Management: Manage containerized deployments, implement monitoring solutions, and oversee upgrade management, backup strategies, and high-availability configurations.

Learning & Development Opportunities:

Technical Skill Development: Expand your expertise in data engineering, platform engineering, and emerging data technologies.
Conference Attendance & Certification: Truelogic supports its employees' professional development by encouraging conference attendance and certification programs.
Technical Mentorship: Truelogic offers opportunities for technical mentorship, leadership development, and architecture decision-making.

📝 Enhancement Note: Truelogic's challenges and growth opportunities focus on driving technical innovation, enhancing system reliability, and fostering professional development.

💡 Interview Preparation

Technical Questions:

Backend Feature Development: Describe your experience enhancing backend features to improve stability and scalability. Walk through a specific example, explaining the challenges faced and solutions implemented.
Metadata Ingestion & Lineage: Explain your approach to developing and maintaining custom OpenMetadata connectors for metadata ingestion. Discuss any challenges you've faced and how you overcame them.
Infrastructure Management: Describe your experience managing containerized deployments, implementing monitoring solutions, and ensuring system reliability. Highlight any innovative approaches you've taken to optimize infrastructure performance.

Company & Culture Questions:

Company Culture: Explain what aspects of Truelogic's company culture appeal to you and how you believe you can contribute to its success.
Team Dynamics: Describe your experience working in a remote, cross-functional team. Highlight any challenges you've faced and how you've overcome them.
Professional Growth: Discuss your long-term career goals and how this role at Truelogic can help you achieve them. Explain what aspects of the role you're most excited about and why.

Portfolio Presentation Strategy:

Backend Feature Development: Highlight a project where you've enhanced backend features to improve stability and scalability. Explain the design decisions, challenges faced, and solutions implemented.
Metadata Ingestion & Lineage: Showcase a project where you've developed and maintained custom OpenMetadata connectors for metadata ingestion. Explain the data lineage capture process and any challenges you've faced.
Infrastructure Management: Demonstrate a project where you've managed containerized deployments, implemented monitoring solutions, and ensured system reliability. Highlight any innovative approaches you've taken to optimize infrastructure performance.

📝 Enhancement Note: Truelogic values candidates who can clearly articulate their technical expertise, problem-solving skills, and alignment with the company's culture and values.

📌 Application Steps

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

Customize Your Portfolio: Highlight backend feature development, custom connector development, and infrastructure management projects. Ensure your portfolio demonstrates your expertise in data engineering, platform engineering, and OpenMetadata.
Optimize Your Resume: Emphasize your relevant experience in data engineering, platform engineering, and OpenMetadata. Include specific project examples and technical skills.
Prepare for Technical Interviews: Brush up on your Python development skills, familiarize yourself with ECS, Airflow, RDS, and OpenSearch/Elasticsearch. Practice solving technical challenges related to backend feature development, metadata ingestion, and infrastructure management.
Research Truelogic: Understand Truelogic's company culture, values, and remote work environment. Prepare thoughtful questions to ask during your interviews, demonstrating your interest in the role and the organization.

📝 Enhancement Note: Truelogic values candidates who take the time to tailor their applications, research the company, and prepare thoroughly for interviews.

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