Architect - Data Engineer

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

For our client, we are seeking a Architect - Data Engineer to join the team of a leader in the Information Technology space. This role will shape the architectural foundation for modern data environments that support advanced AI-driven solutions. The position will partner with clients and internal stakeholders to design scalable, high-performing data layers that integrate diverse data types and enable real-time decision-making. The work will also involve defining data structures and orchestration patterns that support mission-critical operations in a fast-moving technology setting.

Location: Remote - US based candidates only, no visa sponsorship available

Compensation: $135,000 – $160,000 annually

Responsibilities

• Design the architectural blueprint for a modern data layer integrating diverse data types
• Define multi-tenant schemas and Knowledge Graph ontologies for advanced 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

Qualifications

• 10+ years of experience in data engineering and system architecture
• Proven expertise in architecting Snowflake and Kinetica platforms
• Strong DBA skills with a focus on cloud-native environments and performance optimization
• Experience with Knowledge Graph design for AI applications
• In-depth understanding of data orchestration patterns for ETL/ELT processes

Benefits

• Impact at a leading AI-first digital engineering company with rapid growth
• Upskill with complex technological challenges and talented colleagues
• Engage in a research environment with numerous patents held
• Access to cutting-edge AI, ML, data, and cloud technologies working with Fortune 500 clients

Our client is an equal opportunity employer. We encourage you to apply even if you don’t meet every qualification—your background could be exactly what this team needs.