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Cloud Data Architect en Muttdata

Muttdata · Argentina, Argentina · Hybrid

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Description

🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀

Mutt Data is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.

We’re looking for a Cloud Data Architect to join our team and help design and evolve large-scale data platforms for a major banking project currently undergoing a data modernization process. If you consider yourself a data nerd like us, we’d love to connect! 🐶🚀

In this role, you will join a Data Architecture team responsible for defining standards, patterns, and best practices that guide multiple data engineering teams building modern data products on AWS.

🚀 What We Do

  • Leveraging our expertise, we build modern Machine Learning systems for demand planning and budget forecasting.
  • Developing scalable data infrastructures, we enhance high-level decision-making, tailored to each client.
  • Offering comprehensive Data Engineering and custom AI solutions, we optimize cloud-based systems.
  • Using Generative AI, we help e-commerce platforms and retailers create higher-quality ads, faster.
  • Building deep learning models, we enhance visual recognition and automation for various industries, improving product categorization, quality control, and information retrieval.
  • Developing recommendation models, we personalize user experiences in e-commerce, streaming, and digital platforms, driving engagement and conversions.

    • 🌟 Our Partnerships

  • Amazon Web Services
  • Astronomer
  • Databricks

    • 🌟 Our Values

  • 📊 We are Data Nerds
  • 🤗 We are Open Team Players
  • 🚀 We Take Ownership
  • 🌟 We Have a Positive Mindset

    • 🔍 Curious about what we’re up to? Check out our case studies and dive into our blog post to learn more about our culture and the exciting projects we’re working on! 🚀

    Responsibilities 🤓

  • Participate in defining the reference data architecture, including ingestion, transformation, storage, and consumption patterns on AWS.
  • Collaborate in establishing standards for data modeling, naming conventions, lineage, data quality, and technical documentation.
  • Design and implement dbt models and Airflow pipelines supporting analytical workloads on Redshift.
  • Design and implement data testing and quality strategies using dbt tests and tools such as Elementary Data.
  • Actively participate in architecture discussions, design reviews, and technical decision-making across the data ecosystem.
  • Collaborate with engineering teams to ensure consistent adoption of architecture standards and best practices.
  • Work closely with business and technology stakeholders to align technical decisions in complex organizational environments.

    • Required Skills 💻

  • Experience working on production data platforms at scale.
  • Experience working in banking, financial services, or large enterprises with comparable organizational complexity.
  • Strong ability to design architectures and propose solutions to complex data problems, not just execute implementations.
  • Hands-on experience with: dbt, Airflow, Amazon Redshift, Amazon S3 and SQL.
  • Experience implementing data testing and observability practices (dbt test, Elementary Data, Great Expectations or similar).
  • Strong communication skills and the ability to collaborate with multiple stakeholders and technical teams.

    • 🎁 Perks

  • AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • In-Company English Lessons.
  • Birthday off + an extra vacation week (Mutt Week! 🏖️)
  • Referral bonuses – help us grow the team & get rewarded!
  • Maslow: Monthly credits to spend in our benefits marketplace.
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
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