We are seeking a highly skilled Data Architect Consultant to design and deliver scalable, enterprise-grade data architectures that enable advanced analytics, GenAI, and agentic AI solutions. This role sits at the intersection of data engineering, data science, and AI, requiring hands-on expertise in building robust data ecosystems that support LLM-driven applications, RAG pipelines, and intelligent agent workflows in production environments.

Key Responsibilities:

• Build and maintain data pipelines for structured and unstructured data (batch and real-time)
• Help set up and manage data storage and access layers for AI use cases
• Support AI-ready data foundations — embeddings, vector indexing, feature engineering
• Collaborate with data and AI teams to integrate models into data workflows
• Apply basic data governance and security practices
• Translate requirements into practical data solutions

Requirements:

• Experience Level: 3-5 years in Data Engineering or a related data role
• Solid knowledge of Python and SQL
• Hands-on experience with at least one cloud platform: Azure, AWS, or Google Cloud
• Familiarity with data pipeline tools such as Airflow, dbt, or similar
• Some exposure to GenAI or LLM-based applications (RAG, embeddings, or similar) — even from personal projects
• Basic understanding of vector databases or AI orchestration tools is a plus, not a must

Nice to have:

• Experience with Snowflake, Databricks, or similar data platforms
• Familiarity with LangChain, LlamaIndex, or vector DBs (Pinecone, FAISS, Weaviate)
• Experience working in cross-functional teams

The Rest of the qualities, you know them:

• Fluent in English – verbal & written
• Ability to work independently, demonstrating high-level organizational and execution skills
• Strong analytical, problem-solving, and time management skills.
• Proactive mindset and willingness to cross-functional collaboration
• Very good attention to detail and meeting deadlines

Benefits:

• Certification
• Career Counselling
• 25 day paid vacation
• Flexible home office policy
• Options to buy shares
• Luxury health & dental insurance
• Food vouchers
• Multisport cards
• Employee Assistance Program