Remote Data Architect for AI-Driven Real-Time Analytics

Corevia Staffing

United States

Remote

USD 150,000 - 190,000

Full time

6 days ago
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Job summary

Corevia Staffing is seeking a Senior Data Architect for a 12-month contract-to-hire engagement, fully remote. The role demands 10+ years of Data Engineering/Architecture experience with hands-on ETL/ELT, Python, and SQL, plus enterprise data warehouse/lakehouse proficiency.

Expertise in Treasure Data CDP, real-time analytics, Kafka, and cloud platforms (AWS/Azure/GCP) is essential. The candidate should design scalable data architectures supporting AI/GenAI applications, including RAG and

Qualifications

  • 10+ years of Data Engineering/Data Architecture experience with hands-on ETL/ELT, Python, and SQL.
  • Experience with Enterprise Data Warehouses/Lakehouses and modern AI/GenAI data platforms.
  • Production experience with Treasure Data/CDP, real-time analytics, and streaming pipelines.
  • Strong background in Kafka, Snowflake, Databricks, and cloud data services (AWS/Azure/GCP).
  • Experience designing cloud data architectures and RAG/vector-search pipelines.

Responsibilities

  • Design and implement enterprise data architectures for batch and real-time workloads.
  • Build and optimize AI-ready data pipelines including RAG infrastructure.
  • Lead streaming data pipelines using Apache Kafka and related tech.
  • Ensure integration of Treasure Data CDP with AI/ML platforms.
  • Collaborate with teams to align data platforms with AI/GenAI needs.

Skills

ETL/ELT
Python
SQL
Real-time analytics
Event-driven architecture
Treasure Data CDP
Apache Kafka
Data warehousing
Snowflake
Databricks
Cloud platforms
CDC/ Debezium
AI-ready data pipelines
RAG / vector-search
LangChain / LangGraph
AI Agents
Azure OpenAI / AWS Bedrock
Terraform / Infrastructure as code

Tools

Treasure Data CDP
Apache Kafka
Snowflake
Databricks
AWS
Azure
GCP

Job description

Corevia Staffing is seeking a Senior Data Architect for a 12-month contract-to-hire engagement, fully remote. The role demands 10+ years of Data Engineering/Architecture experience with hands-on ETL/ELT, Python, and SQL, plus enterprise data warehouse/lakehouse proficiency.

Expertise in Treasure Data CDP, real-time analytics, Kafka, and cloud platforms (AWS/Azure/GCP) is essential. The candidate should design scalable data architectures supporting AI/GenAI applications, including RAG and

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