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🚀 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 DoLeveraging 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 PartnershipsAmazon Web ServicesAstronomerDatabricks🌟 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).🎁 PerksAWS, DBT, Google Cloud, Azure & Databricks certifications fully coveredIn-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!We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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