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Data Enabler

Summary

Define and maintain data architecture for a banking modernization project, translating business needs into scalable ML and data platforms using modern tools like dbt and cloud services.

πŸš€ Join Our Data Products and Machine Learning Development Remote Startup! πŸš€
Muttdata is a dynamic startup committed to crafting innovative systems using cutting-edge Big Data and Machine Learning technologies.
We’re looking for a Data Enabler 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! 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€“

  • Define and maintain data architecture guidelines: 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 our services and shape them into technical-commercial proposals.

Required Skills ( Must Haves)πŸ’»

  • 7+ years of experience as a PM / Functional Analyst on data or technology projects, ideally in banking, financial, or other highly regulated environments.
  • Working knowledge of dbt and modern data architecture concepts (ingestion, transformation, storage, consumption) β€” enough to read designs critically and ask the right questions, not necessarily to build them.
  • Strong requirements-gathering and documentation skills: able to translate ambiguous business asks into clear functional specs for engineering teams.
  • Experience facilitating design reviews and architecture discussions, bringing structure and independent judgment even without writing the code.
  • Familiarity with data governance, testing, and CI/CD practices from a functional/oversight standpoint.
  • Excellent stakeholder management: comfortable moving between engineering conversations and executive updates.
  • Ability to spot opportunities for service growth and turn them into technical-commercial proposals.

Required Skills ( Nice to Haves) πŸ’»

  • Exposure to modern data stack tools (Snowflake, BigQuery, Airflow, Fivetran, etc.) as a user/analyst, not necessarily as a builder.
  • PM certifications (PMP, Scrum, SAFe) or Business/Functional Analysis certifications (CBAP, IIBA).

🎁 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

What this application asks

lever

Resume/CV, Full name, Email, Phone, Current location, Current company, LinkedIn URL, GitHub URL, Other URL

  • Did you know Muttdata before applying? Below, we are sharing a link with additional information about the company : https://linktr.ee/MuttDataJobs written answer Β· optional
  • Where did you hear about us? choose one Β· optional
  • Describe about your relevant experience in the role written answer Β· optional
  • How many years of experience do you have designing data architectures from scratch (not just executing someone else's design) written answer Β· optional
  • Rate your proficiency level (Junior / Mid / Senior / Expert) in the following core stack: dbt, Airflow (MWAA), Redshift, and Advanced SQL written answer Β· optional
  • Have you ever been responsible for building or presenting technical-commercial proposals to expand the scope of a service with a client? (Yes / No. If Yes, briefly summarize in one sentence what you pitched/sold) written answer Β· optional
  • Do you have experience leading teams? If so, how many people? written answer Β· optional
  • Study/Degree written answer
  • Do you have any of these certifications (Databricks, Azure, AWS, Astronomer, GCP)? If so, are they still active? written answer Β· optional
  • English Level choose one
  • Gross salary expectations (or USD net) written answer
  • Seniority choose one Β· optional
  • Working mode choose one
  • Do you currently reside in Argentina? (This is a mandatory requirement for this role.) written answer

See also

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