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Muttdata

#12 Data Governance & Platform Lead

Buenos Aires, Argentina

Location
Buenos Aires, Argentina
Work
Hybrid
Employment
Full-time
Level
Lead / staff
Function
Data & AI
Pay
Not stated
Posted
4 weeks ago

About the role

πŸš€ Join Our Remote Data Products & Machine Learning Startup! πŸš€

At Muttdata, we build innovative Data Products and Machine Learning solutions that help companies solve complex business challenges. As a fast-growing, remote-first startup, we're passionate about technology, collaboration, and continuous learning.

We are looking for a Data Governance & Platform Technical Lead to join our team and support one of our banking clients. We're seeking someone with technical experience in data platforms and data governance who can support the team with a cross-cutting view: helping resolve technical definitions, unblocking progress, and connecting governance needs with their implementation on the data platform.πŸΆπŸš€

πŸš€ 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

  • πŸ“Š We are Data Nerds
  • πŸ€— We are Open Team Players
  • πŸš€ We Take Ownership
  • 🌟 We Have a Positive Mindset

πŸ” 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! πŸš€

Responsibilities πŸ€“

  • Work with the data governance, architecture, and platform teams, while also understanding the needs of the business.
  • Actively participate in technical decisions around data catalog, data quality, and data observability.
  • Bring practical implementation criteria: identify dependencies, propose courses of action, and help drive them forward.
  • Help resolve technical definitions and unblock progress.
  • Support the evolution of prioritized data products.

Required Skills πŸ’»

  • Solid experience as a Data Engineer, Tech Lead, or Data Architect, with the ability to lead technically and coordinate with different teams.
  • Experience with AWS (priority).
  • Experience with dbt (priority), the main tool for the data catalog.
  • Experience going through a data governance implementation cycle, ideally in banking.
  • Experience leading data governance initiatives or projects (of more than one year), not only using tools as a team member.
  • Experience implementing tools.
  • Knowledge of data platforms and of data catalog, data quality, or data observability tools.
  • Ability to communicate with both technical and functional profiles and to bring a cross-cutting perspective.

Nice to have πŸ’»

  • Experience with Elementary, DataHub, Apache Atlas, or similar tools.

🎁 Perks

  • 🌍 Remote-first culture – work from anywhere!
  • πŸš€ In-Company English Lessons.
  • πŸ’ͺ Wellhub or sports club stipend to stay active
  • πŸš€ AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
  • πŸ• Food credits via Pedidos Ya – because great work deserves great food.
  • πŸŽ‚ Birthday off + an extra vacation week (Mutt Week! πŸ–οΈ)
  • 🀝 Referral bonuses – help us grow the team & get rewarded!
  • ✈️🏝️ Annual Mutters' Trip – an unforgettable getaway with the team!
  • πŸ‘Ά Monthly Childcare Reimbursement – Because supporting families matters too

Source

Posted by Muttdata on their own hiring page, jobs.lever.co. OptiTalent shows it as published, read 07 Nov 2026 00:30 UTC; the original is the reference.

View the original ad β†—

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