Cloud Data Architect - DBT

Muttdata

Argentina

Presencial

ARS 104.200.779 - 133.972.431

Jornada completa

14 días+

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Ventajas ofrecidas por este puesto de trabajo

AWS, DBT, Google Cloud certifications fully covered
In-company English lessons
Birthday off
Extra vacation week
Referral bonuses
Monthly credits to spend in the benefits marketplace
Annual team trip

Descripción de la vacante

Muttdata, a dynamic startup in Argentina, seeks a Cloud Data Architect to design and evolve large-scale data platforms. You will define data architecture guidelines, manage technical debt, and act as a trusted liaison translating business needs into technical solutions.

The successful candidate will have strong skills in dbt, Airflow, advanced SQL, and significant experience in complex enterprise environments. Benefits include fully covered certifications, English lessons, referral bonuses, and extra vacation time.

Formación

  • Proven track record as a Senior Data Engineer or Data Architect.
  • Hands-on experience leading technical teams in production environments.
  • Ability to design architectures and propose solutions from scratch.

Responsabilidades

  • Define and maintain data architecture guidelines.
  • Provide strong judgment in design reviews and decisions.
  • Deliberately manage technical debt.
  • Act as trusted technical liaison.

Conocimientos

Senior Data Engineer or Data Architect
dbt
Airflow (MWAA)
Redshift
S3
Advanced SQL
DataOps
CI/CD
GitHub Actions
Terraform
Docker
Lakehouse architectures
Data Mesh
Governance tools
Cloud certifications

Descripción del empleo

Position

Cloud Data Architect

Overview

Muttdata is a dynamic startup committed to crafting innovative systems using cutting‑edge Big Data and Machine Learning technologies. We are looking for a Cloud Data Architect to help design and evolve large‑scale data platforms for a major banking project currently undergoing a data modernization process.

Responsibilities
  • Define and maintain data architecture guidelines covering ingestion, transformation, storage, consumption, and governance patterns.
  • Provide strong, independent judgment in design reviews and architecture decisions across the client’s data ecosystem.
  • Deliberately manage technical debt and uphold high standards for data testing, observability, and CI/CD pipelines.
  • Act as the trusted technical liaison: translate business needs into technical solutions and technical decisions into executive‑level language.
  • Identify opportunities to evolve the scope of services and shape them into technical‑commercial proposals.
  • Leverage expertise to build modern Machine Learning systems for demand planning and budget forecasting.
  • Develop scalable data infrastructures that enhance high‑level decision‑making tailored to each client.
  • Offer comprehensive Data Engineering and custom AI solutions to optimize cloud‑based systems.
  • Use Generative AI to help e‑commerce platforms and retailers create higher‑quality ads more quickly.
  • Build deep learning models that improve visual recognition and automation for various industries.
  • Develop recommendation models that personalize user experiences in e‑commerce, streaming, and digital platforms.
Qualifications
  • Proven track record as a Senior Data Engineer or Data Architect, with hands‑on experience leading technical teams in production environments.
  • Expert command of dbt, Airflow (MWAA), Redshift, S3, and advanced SQL.
  • Experience working within highly complex enterprise or corporate organizations.
  • Ability to design architectures and propose solutions from scratch.
  • Strong communication and negotiation skills across all organizational levels.
  • DataOps and CI/CD applied to data: GitHub Actions, Terraform, Docker.
  • Lakehouse architectures.
  • Legacy‑to‑cloud migrations.
  • Data Mesh and distributed data ownership.
  • Governance and cataloging tools: OpenMetadata, DataHub, Atlan or similar.
  • AI Agents applied to data: LangGraph, LangChain, LiteLLM, RAG.
  • AI‑assisted development integrated into real workflows.
  • Cloud certifications (AWS Data Engineer, Solutions Architect, or equivalent).
Benefits
  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered.
  • In‑company English lessons.
  • Birthday off and an extra vacation week.
  • Referral bonuses.
  • Monthly credits to spend in the benefits marketplace.
  • Annual team trip.
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