Role Overview

TATAM is growing fast, and data is at the center of what comes next.

We are looking for a Senior Data Engineer to lead the data transformation that will make that growth possible. This is a foundational role: the person who joins will design and build the platform that every team, product and AI initiative at TATAM will rely on.

Today our information lives in decentralized sources. The first mission is to turn it into a single source of truth that is reliable, traceable and scalable. On top of that foundation, this person will build a governed data platform that teams can query, report on and use to create new products.

The area is just taking shape, which means real ownership, room to define how things are done, and a direct impact on the business. If you want to build something from the ground up and see it change how a company works, this role is for you.

Core Responsibilities

- Define the data strategy and architecture. Design the data platform and its roadmap, from ingestion to curated layers, and make the key technical decisions as the company scales.

- Build the single source of truth. Consolidate decentralized sources into one reliable, documented and traceable platform.

- Automate ingestion. Build robust pipelines that bring data from internal tools, spreadsheets, files, third-party platforms and APIs, with clear lineage and no manual work.

- Take data to production. Own deployments, monitoring, alerting, backups and incident response so the platform runs reliably every day.

- Guarantee data quality and governance. Define quality checks, freshness standards,



data definitions and ownership, so teams can trust the numbers.

- Design secure access. Implement authentication, role-based permissions and safe access layers so each team and user sees exactly what they should.

- Enable self-service, reporting and AI. Deliver curated datasets and access layers that power dashboards, natural-language analysis and AI products.

- Partner across the business. Work with Business, Ops, Paid Media and the AI Automation team to turn their needs into reliable data, and set the engineering standards the area will grow on.

Requirements

- 4+ years of experience in data engineering, analytics engineering or backend roles focused on data.

- Strong Python and SQL.

- Proven experience designing data architectures and data models in a modern cloud data warehouse or PostgreSQL.

- Experience building and orchestrating production ETL/ELT pipelines (e.g. dbt, Airflow, Dagster or similar).

- Experience integrating data from APIs, spreadsheets and semi-structured sources.

- Solid production practices: testing, CI/CD, monitoring, version control and documentation.

- Knowledge of authentication, permissions, data security and handling of personal data.





- Experience evaluating infrastructure options and managing data platform costs.

- Ability to explain technical decisions clearly to non-technical teams and influence how others work with data.

- Good written and spoken English and Spanish.

- Comfortable working with AI tools and interested in connecting data to LLMs and agents.

Strong Plus

- Experience building a data platform from scratch in a fast-growing company.

- Experience in marketing, adtech, influencer marketing or mobile growth data (CPI, CPA, ROAS).

- Experience with SSO and multi-tenant permission models.

- Experience exposing data to LLMs and agents in a secure way.

- Experience with BI tools or building internal dashboards.

What Success Looks Like

1. Single Source of Truth: Decentralized data is consolidated into one platform that the whole company uses.

2. Automated Ingestion: New data flows in without manual work, with clear owners and lineage.

3. Trusted Data: Teams rely on the numbers because quality, freshness and definitions are in place.

4. Secure Access: Each person sees only the data they should, with auditable permissions.

5. Production Reliability: The platform runs reliably, issues are caught early and nothing depends on manual fixes.

6. Foundation for Growth: Reporting, self-service and AI products are built on the platform without rework.

We prioritize candidates based in Buenos Aires, as this is a hybrid role (1 day in our Palermo office, 4 days remote)

📌 Senior Data Engineer (Buenos Aires)
🏢 TATAM Digital
📍 Buenos Aires