Senior Database Architect: AI-Native & Legacy Modernization

WEX; United States; À distance; USD 166 000 - 204 000; Plein temps

Avantages offerts par ce poste

Health insurance

Retirement savings plan

Tuition reimbursement

Paid time off

Résumé du poste

WEX is seeking a Senior Database Architect to modernize legacy SQL Server systems while building AI-native data infrastructure. You will design semantic models, vector databases, and embedding pipelines to power AI agents and workflows.

You will lead cross-domain efforts across legacy modernization, AI data infrastructure, and modern data platform architecture, mentored by senior engineers and aligned with enterprise standards.

Qualifications

• 8–12 years in database engineering and architecture.
• Enterprise-scale SQL Server experience with complex stored procedures.
• Multi-platform data architecture across relational, NoSQL, and analytical platforms.
• Experience with event-driven patterns and data streaming.
• Knowledge of AI-native data infrastructure and RAG architectures.

Responsabilités

• Decompose and migrate large SQL Server stored procedures to domain services.
• Design patterns separating business rules from data access.
• Lead modernization aligning with domain-driven design and event sourcing.
• Build semantic data models and vector database solutions for AI retrieval.
• Define data architectures for AI agent context and real-time data flows.

Connaissances

SQL Server expertise

T-SQL optimization

Stored procedure design/refactor

Query plan analysis

Indexing strategies

Performance tuning

Event-driven patterns

Data modeling

Vector databases

RAG architecture

Embedding pipelines

Knowledge graphs

Semantic modeling

AI-assisted development

Backend languages (C#, Java, Python)

Outils

GitHub Copilot

Cursor

Claude Code

Pinecone

Weaviate

pgvector

Azure AI Search

Kafka

Description du poste

WEX is seeking a Senior Database Architect to modernize legacy SQL Server systems while building AI-native data infrastructure. You will design semantic models, vector databases, and embedding pipelines to power AI agents and workflows.

You will lead cross-domain efforts across legacy modernization, AI data infrastructure, and modern data platform architecture, mentored by senior engineers and aligned with enterprise standards.