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
• Google Cloud Platform
• 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