Remote Data Architect for AI-Driven Platforms

Ladders; United States; On-site; USD 135,000 - 160,000; Full time

Benefits offered by this job

Fortune 500 clients

Research environment with patents

Remote work flexibility

Job summary

Ladders seeks an Architect - Data Engineer to shape the data layer for real-time AI solutions. You will design scalable architectures and multi-tenant schemas, partnering with clients and stakeholders to align technology with business goals.

Requirements include 10+ years in data engineering and system architecture, expertise in Snowflake and Kinetica, and strong cloud-native DBA skills for performance optimization.

Qualifications

• 10+ years in data engineering and system architecture.
• Expertise with Snowflake and Kinetica platforms.
• Cloud-native DBA skills and performance optimization.
• Knowledge Graph design for AI applications.
• Experience with ETL/ELT orchestration patterns.

Responsibilities

• Design the architectural blueprint for a modern data layer integrating diverse data types.
• Define multi-tenant schemas and Knowledge Graph ontologies for AI reasoning.
• Ensure high availability and performance of data clusters for mission-critical AI operations.
• Serve as the technical face for clients, aligning architectural goals with business needs.
• Establish performance standards for data retrieval tailored to real-time AI requirements.

Skills

Data architecture

Cloud DB/ETL design

Knowledge Graph design

Real-time data processing

Tools

Snowflake

Kinetica

Job description

Ladders seeks an Architect - Data Engineer to shape the data layer for real-time AI solutions. You will design scalable architectures and multi-tenant schemas, partnering with clients and stakeholders to align technology with business goals.

Requirements include 10+ years in data engineering and system architecture, expertise in Snowflake and Kinetica, and strong cloud-native DBA skills for performance optimization.