# Senior Data Platform Engineer at DEPT

DEPT is hiring a Senior Data Platform Engineer. Level rates it Little AI ●○○○; you can [apply on DEPT](https://jobsbylevel.com/go/1f398bac-0f3b-44f9-aa0d-96a82d331bf2?utm_medium=ai-agent).

AI Level 1, AI centrality 32 out of 100. Gran Buenos Aires, Argentina; Capital Federal, Argentina.

## Details

- Company: [DEPT](https://jobsbylevel.com/companies/dept)
- AI level: AI Level 1 (score 32 out of 100)
- Location: Gran Buenos Aires, Argentina; Capital Federal, Argentina
- Posted: November 4, 2026
- Apply: https://jobsbylevel.com/go/1f398bac-0f3b-44f9-aa0d-96a82d331bf2?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=senior-data-platform-engineer-at-dept-66752b

## Prepare for this job

The job page lists 2 likely interview questions for this offer, with a CV checklist: https://jobsbylevel.com/jobs/senior-data-platform-engineer-at-dept-66752b

## Description

WHY DEPT®? We are a Growth Invention company built to help the world’s most ambitious brands grow faster. Operating at the intersection of technology and marketing, we create what is next by pioneering ideas, acting fast, and moving further because standing still just is not in our DNA. We are drawn to people who stay curious, move with intent, and never stop inventing. Our culture runs on three values: better together, relentlessly curious, and get sh*t done. It is how we work, how we grow, and how we make things that matter. At DEPT®, you will find the freedom to explore, the space to collaborate, and the trust to make a real impact for our clients, for each other, and for the world we are helping to build. THE ROLE: We are hiring hands-on Senior Data Engineers in Argentina to join the data engineering squads we have in place at one of our clients. This is not a marketing or e-commerce analytics role. The work is about getting to grips with complex, real-world datasets and turning them into reliable, well-modeled data. WHAT YOU’LL DO: Build, run and maintain data pipelines end to end, from ingestion through transformation to modeled, analysis-ready tables. Write and maintain dbt models and SQL transformations on Databricks or Snowflake. Design data models and be able to explain, and defend, what a good model looks like. Push back when a design will not hold up. Own platform operations, including monitoring, alerting, incident response, and capacity planning, to ensure the platform remains resilient, observable, and cost-efficient in production. Design reusable orchestration patterns with Airflow, Databricks Workflows or AWS services such as Glue, Step Functions and S3, with clear ownership, retries and failure handling instead of one-offs per pipeline. Contribute to CI/CD for the data platform, focusing on automated testing, environment promotion, and deployment pipelines for dbt model, jobs, and infrastructure-as-code to ensure changes are shipped safely and can be repeated reliably. Get to know complex real-world datasets, such as people and employment data or financial data, and understand what they represent. Solve the problems that only show up at very large data volumes: partitioning and file-layout strategy, compute right-sizing, job concurrency, and pipeline reliability at scale. Keeping pipelines reliable, performant and cost-aware. WHAT YOU BRING: 5–7 years of experience as a data engineer, including significant time spent building or operating a data platform rather than just running pipelines on top of one. Strong SQL Hands-on experience with Databricks and/or Snowflake. Experience with AWS data services such as S3, Glue, Step Functions, Lambdas Experience with orchestration tools such as Airflow or Databricks Workflows, and with building reusable workflows that scale across many pipelines. Strong grasp of data governance, security, and operational practices, such as access control, data quality frameworks, monitoring, and incident response, in a production environment. Experience building CI/CD for data workflows and designing orchestration patterns that hold up as a platform scales, not just individual pipelines. Experience with Terraform or other Infrastructure as Code tooling. Solid data modeling skills, and the judgment to recognize a good model and push back on a poor one. A track record of solving the operational and cost challenges that come with data at scale, not just the modeling challenges. Experience with a variety of complex datasets beyond clickstream or e-commerce data. Exposure to streaming or document-store technologies (e.g., Kafka, MongoDB) is a plus, not a requirement. Proficiency in a general-purpose programming language (e.g., Python) SOFT SKILLS: Excellent communication and presentation skills, including executive-level communication Strong analytical and problem-solving abilities Ability to manage stakeholders and build relationships across teams Collaborative mindset and ability to work

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/senior-data-platform-engineer-at-dept-66752b

Source: https://jobsbylevel.com/jobs/senior-data-platform-engineer-at-dept-66752b

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