Senior Data Architect (AI & AI-Assisted Development)

About the role

Cloudera is looking for a Senior Data Architect who will lead the design of AI‑first data platforms. You will work with Business Intelligence, Data Science, Engineering and AI teams to create scalable, governed data foundations that power analytics, intelligent search and AI‑driven workflows.

Key responsibilities

• Design and implement scalable data warehouse and lakehouse architectures on the Cloudera platform.
• Define enterprise data models, governance frameworks, data stewardship processes, security standards and data quality practices.
• Architect and optimise analytics solutions across SQL engines such as Impala, Hive and Iceberg.
• Design AI‑powered analytics leveraging large language models, Retrieval‑Augmented Generation, vector databases (PostgreSQL, Qdrant, Milvus) and natural‑language query capabilities.
• Lead integration of AI/ML capabilities into data pipelines while establishing governance controls for AI models.
• Establish robust metadata, lineage, data tagging and semantic structures to improve discoverability and scalability of AI solutions.

Required profile

• 5+ years of experience designing enterprise data platforms and lakehouse architectures.
• Hands‑on experience with AI governance, large language models, RAG and semantic data architectures.
• Proven ability to collaborate with cross‑functional BI, Data Science, Engineering and AI teams.
• Strong communication skills to translate technical concepts into business value.

Required skills

• Cloudera platform
• Data warehousing and lakehouse architecture
• SQL engines: Impala, Hive, Iceberg
• Large Language Models (LLMs) and Retrieval‑Augmented Generation (RAG)
• Vector databases: PostgreSQL, Qdrant, Milvus
• Metadata management, data lineage and data tagging
• Semantic modeling and AI model governance