RevOps Data Infrastructure Engineer (LatAm, Remote)
AltiSales, Remote, LatAm +1
The role
As a Data Infrastructure Engineer, you will join our Revenue Operations team. We manage sales data for multiple B2B clients, each with its own CRM and sales engagement platform. Your job is to turn all of that into one reliable, scalable data platform that powers reporting, automation and decision-making across the company.
You'll own the data warehouse, the pipelines that feed it, and the data layer behind the dashboards and alerts our teams rely on every day. When something works for one client, you make it work for all of them.
We are AI-first: we use AI every day to build faster, and we own its outputs by checking the logic of every piece before moving on. Documentation is part of the job, and a project is only done when people are using it.
What you will do
- Data Warehouse: Own and evolve our cloud data warehouse and data models.
- Data Pipelines: Build, run and monitor ingestion pipelines from CRMs, sales engagement platforms and other sources, including sources without native connectors.
- Process Automation: Replace fragile spreadsheet-based processes with scalable, warehouse-based solutions.
- Reporting & Alerts: Build and maintain the data layer behind dashboards, reports, automated notifications and alerts.
- Data Quality: Monitor data integrity, catch issues early and fix them at the source.
- Scalability: Turn proven one-off solutions into standardized processes that work for every client, and manage access, cost and performance of the data stack.
- Documentation: Write clear technical documentation and guidelines.
What you need
- Bilingual English proficiency, written and spoken. Interviews are conducted in English.
- 3+ years of proven experience in data engineering, analytics engineering, or a technical RevOps / BizOps role.
- Strong SQL and hands-on experience with a cloud data warehouse (e.g., BigQuery, Snowflake, Redshift).
- Experience with data modeling tools (e.g., Dataform, dbt) and ELT tools (e.g., Fivetran), including troubleshooting broken pipelines.
- Scripting experience (e.g., JavaScript / Google Apps Script or Python).
- Good understanding of CRM and sales data (HubSpot and Salesforce are the most important).
- High standards for data quality: you check your numbers before anyone else sees them.
- Based in Latin America, with good overlap with US business hours.