Senior Data Architect (AI & AI-Assisted Development)
Core
Design scalable enterprise data platforms (warehouse/lakehouse) optimized for AI consumption, intelligent search, and agentic workflows.
Role type
Senior IC Data Architect (AI-First)
Builds
Scalable data warehouse and lakehouse architectures on Cloudera; AI-powered analytics solutions using LLMs, RAG, and vector databases.
Domain
Enterprise Data & AI Engineering
Deliverable
production ML models | product features | infrastructure
Required skills
Enterprise data warehousing, lakehouse architectures, Cloudera platforms (HDFS, Hive, Impala, Kudu), distributed data systems, Hadoop, Advanced SQL, Python, dimensional/normalized modeling, data governance, lineage, metadata management, AI governance, LLMs, RAG, vector databases, AI-assisted development tools.
Preferred skills
CDP Public/Private Cloud, Kafka, Spark, streaming architectures, generative AI, Data Mesh, Data Fabric, Salesforce, NetSuite.
Technologies
Cloudera, HDFS, Hive, Impala, Kudu, Iceberg, PostgreSQL, Qdrant, Milvus, Kafka, Spark, GitHub Copilot
Responsibilities
Design and implement scalable data warehouse and lakehouse architectures; Define enterprise data models, governance frameworks, and security standards; Architect and optimize analytics solutions across SQL engines; Design AI-powered analytics solutions leveraging LLMs, RAG, and vector databases; Lead integration of AI/ML capabilities into enterprise data pipelines; Leverage AI-assisted development tools to accelerate delivery; Build and optimize batch and near real-time data pipelines; Mentor teams on modern data architecture and AI-enabled methodologies.
Seniority
Senior, hands-on IC
