RevOps Data Infrastructure Engineer

Accountabilities:

As a RevOps Data Infrastructure Engineer, you will own the architecture, development, and continuous improvement of the data infrastructure supporting revenue operations. You will ensure that data from multiple client systems is accurately integrated, accessible, and structured to support reporting, automation, and informed decision-making.

Data Warehouse Management: Own, maintain, and continuously evolve the cloud data warehouse, including its architecture and data models.

Data Pipeline Development: Build, operate, and monitor data ingestion pipelines connecting CRMs, sales engagement platforms, and other business systems, including sources without native integrations.

Process Automation: Replace fragile spreadsheet-based workflows with reliable, scalable, warehouse-driven solutions.

Reporting and Alerts: Develop and maintain the data infrastructure behind dashboards, business reports, automated notifications, and operational alerts.

Data Quality Management: Monitor data integrity, identify inconsistencies, troubleshoot issues, and implement solutions at their source to maintain reliable datasets.

Scalability and Standardization: Transform successful client-specific solutions into standardized processes that can be replicated across multiple environments.

Infrastructure Optimization: Manage data platform access, performance, and costs while ensuring the infrastructure remains efficient and scalable.

Technical Documentation: Create and maintain clear technical documentation, processes, and guidelines to facilitate knowledge sharing and consistent implementation.

AI-Driven Development: Leverage AI-powered tools to accelerate development while reviewing and validating generated outputs to ensure technical accuracy and reliability.

Continuous Improvement: Ensure that completed projects are properly documented, implemented, and actively adopted by the teams relying on them.

Requirements:

The ideal candidate combines strong data engineering expertise with a solid understanding of revenue operations, CRM ecosystems, and business intelligence. You should be comfortable managing complex data environments, troubleshooting integrations, and building scalable solutions independently. Strong analytical thinking, attention to detail, and excellent English communication skills are essential.

At least 3 years of proven experience in data engineering, analytics engineering, or a technical Revenue Operations (RevOps) or Business Operations (BizOps) role.

Strong proficiency in SQL and hands-on experience working with cloud data warehouses such as BigQuery, Snowflake, or Amazon Redshift.

Experience with data modeling tools such as Dataform or dbt and ELT platforms such as Fivetran.

Ability to build, maintain, and troubleshoot data pipelines, including diagnosing and resolving integration failures.

Scripting experience using JavaScript, Google Apps Script, Python, or similar technologies.

Good understanding of CRM and sales data ecosystems, particularly HubSpot and Salesforce.

Strong commitment to data quality, with the ability to validate datasets, verify calculations, and identify inconsistencies before information reaches stakeholders.

Excellent analytical and problem-solving skills, combined with a proactive approach to technical challenges.

Strong organizational skills and the ability to manage multiple priorities independently.

Excellent written and spoken English proficiency, as interviews and professional communication are conducted in English.

Based in Latin America, with sufficient availability to collaborate during U.S. business hours.

Ability to work autonomously, take ownership of projects, and document technical solutions clearly.

Nice to Have:

Experience working with HubSpot, Salesforce, or Outreach data and APIs.

Familiarity with Google Cloud Platform (GCP) and business intelligence tools such as Looker Studio.

Knowledge of Git and version control practices.

Experience migrating spreadsheet-based workflows into structured data warehouses and automated processes.

Regular use of AI-powered development tools such as Claude, Cursor, or GitHub Copilot to improve productivity and accelerate engineering workflows.

Previous experience supporting revenue operations or sales development teams in multi-client environments.

Benefits:

Competitive USD Compensation: Receive an attractive compensation package including a competitive base salary, commissions, and performance-based bonuses.

Performance-Based Salary Increases: Benefit from opportunities for compensation growth based on individual results and achievements.

Presidents Club Rewards: Top performers who achieve their revenue targets can earn quarterly trips to exciting destinations such as Las Vegas, Mexico, and Costa Rica, with opportunities for team activities and recognition.

Fully Remote Work: Enjoy the flexibility to work from anywhere, with coworking space expenses covered and the equipment needed to perform your role.

Flexible Vacation Policy: Take time off when needed through an open vacation policy, while maintaining agreed performance objectives.

Unlimited Professional Development: Access an unlimited development budget covering 100% of eligible expenses for books, courses, conferences, and other learning opportunities.

Health Reimbursement: Receive additional support for healthcare-related expenses.

Fitness Stipend: Benefit from financial support for fitness and wellness activities.

Results-Oriented Culture: Work in an environment that values ownership, accountability, excellence, and tangible business impact.

Collaborative Team Environment: Join a team-oriented culture that encourages open communication, continuous learning, constructive feedback, and shared success.