Senior Data Architect

Senior Data Architect Real-Time Data / Kafka / GenAI

Job Title: Senior Data Architect Kafka / Real-Time Data / GenAI



Location: Remote



Job Type: Contract



Duration: 12 Months

THE ROLE

We are looking for a Senior Data Architect who has designed enterprise data platforms supporting both real-time analytics and modern AI/GenAI workloads .

This is not a traditional ETL or BI position .

The ideal candidate has worked across enterprise data architecture, streaming, cloud data platforms, CDC and AI-ready data pipelines .

CORE STACK

Data Engineering

• ETL / ELT
• Python
• SQL
• Enterprise Data Warehousing
• Data Lakehouse

Real-Time Data

• Apache Kafka
• Streaming Data Pipelines
• Real-Time Analytics
• Event-Driven Architecture
• CDC
• Debezium
• Incremental Data Processing

Cloud Data

• AWS
• Azure
• GCP
• Snowflake
• Databricks

AI / GenAI

• RAG
• Vector Databases
• AI-Ready Data Pipelines
• Semantic Search
• AI Agents
• LangChain
• LangGraph
• LlamaIndex
• Azure OpenAI
• AWS Bedrock
• Vertex AI
• Databricks Mosaic AI
• Snowflake Cortex

Specialized Platform

• Treasure Data
• Treasure Data CDP

WHO SHOULD APPLY

The strongest candidates typically have a progression such as:

Data Engineer Senior Data Engineer Data Architect Senior Data Architect

with increasing ownership of enterprise data architecture, streaming platforms and cloud data ecosystems .

We want someone who has designed and implemented production data architecture , not someone whose primary responsibility has been maintaining existing ETL jobs.

REQUIRED EXPERIENCE

• 10+ years of Data Engineering / Data Architecture experience
• Strong ETL/ELT, Python and SQL
• Enterprise Data Warehouse / Lakehouse architecture
• Real-time analytics or streaming
• Apache Kafka
• CDC / Debezium or comparable incremental processing
• Cloud data architecture
• Snowflake, Databricks or equivalent
• Production-level data architecture experience