
Cloud Data Architect
MUTT DATA
full-time
Posted on:
Location Type: Hybrid
Location: Argentina
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Tech Stack
About the role
- 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.
Requirements
- 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.
Benefits
- 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!
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata modelingdbtAirflowAmazon RedshiftAmazon S3SQLdata testingdata qualitydata observability
Soft Skills
communicationcollaborationproblem-solvingtechnical decision-making