Cloud Data Architect - DBT
Muttdata
Apply to this jobπ 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.
π Our Partnerships
- Amazon Web Services
- Astronomer
- Databricks
π Our Values
Responsibilities π€
- Define and maintain data architecture guidelines: Ingestion, transformation, storage, consumption, and governance patterns.
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Provide strong, independent judgment in design reviews and architecture decisions across the client's data ecosystem.
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Deliberately manage technical debt and uphold high standards for data testing, observability, and CI/CD pipelines.
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Act as the trusted technical liaison: Translate business needs into technical solutions, and technical decisions into executive-level language.
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Identify opportunities to evolve the scope of our services and shape them into technical-commercial proposals.
Required Skills ( Must Haves)π»
- 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, rather than just executing pre-defined plans.
- Strong communication and negotiation skills across all organizational levelsβfrom engineers to the board of directors.
Required Skills ( Nice to Haves) π»
- 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 (not just concept demos).
- Cloud certifications (AWS Data Engineer, Solutions Architect, or equivalent).
π Perks
- π Remote-first culture β work from anywhere!
- π In-Company English Lessons.
- πͺ Wellhub or sports club stipend to stay active
- π AWS, DBT, Google Cloud, Azure & Databricks certifications fully covered
- π Food credits via Pedidos Ya β because great work deserves great food.
- π Birthday off + an extra vacation week (Mutt Week! ποΈ)
- π€ Referral bonuses β help us grow the team & get rewarded!
- βοΈποΈ Annual Mutters' Trip β an unforgettable getaway with the team!
- πΆ Monthly Childcare Reimbursement β Because supporting families matters too
Summary
Designs and guides large-scale data platform architectures, ensuring standards and best practices.
Job title
Cloud Data Architect - DBT
Experience level
senior level
Minimum experience
5+ years exp
Industry
software
Location requirements
Argentina, remote work allowed
Salary
Not specified
Management role
No
Required skills
Preferred skills
Specializations
Structured locations inferred from the posting.
Argentina