Cloud Data Architect

🚀 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

• Amazon Web Services
• Astronomer
• Databricks

🌟 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.

• 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)💻

• 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!

Originally posted on Himalayas