🚀 Join Our Data Products and Machine Learning Development Remote Startup! 🚀
Muttdata 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
🌟 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 🤓
- 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)💻
- 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 levels—from engineers to the board of directors.
Required Skills ( Nice to Haves) 💻
- 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).
🎁 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!