Senior Data Architect for Scalable AI-Driven Platforms

Quantiphi; Charlotte (NC); Hybrid; USD 120,000 - 190,000; Full time

Job summary

Quantiphi in Charlotte, NC is seeking an experienced Technical Data Architect to lead design, architecture, and delivery of large-scale data platforms. The role blends hands-on data engineering with leadership of distributed teams in hybrid onsite/offshore settings.

You will define scalable data architectures, build batch and streaming pipelines, optimize performance and cost, and champion DataOps, CI/CD, and governance.

Qualifications

• Experience designing scalable data architectures for large-scale platforms.
• Strong command of SQL and data modeling.
• Experience leading complex data projects and teams.

Responsibilities

• Define and implement scalable Data Architecture strategies for enterprise data platforms.
• Develop data models aligned with business requirements.
• Establish standards for data structures, data integration, metadata, data quality, and governance.
• Oversee high-volume batch data pipelines and distributed processing solutions.
• Architect scalable ETL/ELT frameworks for structured data.
• Design and optimize real-time streaming and event-driven data ingestion.
• Architect cloud-based data warehouse/lakehouse architectures.
• Establish DataOps practices for CI/CD and observability.

Skills

Batch ETL/ELT Pipelines

Distributed Data Processing

Data Ingestion Frameworks

Cloud Data Warehousing/Lakehouse

SQL Tuning/Performance

Workflow Orchestration

CI/CD & DataOps

Data Quality & Observability

Agentic AI / Generative AI Data

Vector Databases & Vector Search

Job description

Quantiphi in Charlotte, NC is seeking an experienced Technical Data Architect to lead design, architecture, and delivery of large-scale data platforms. The role blends hands-on data engineering with leadership of distributed teams in hybrid onsite/offshore settings.

You will define scalable data architectures, build batch and streaming pipelines, optimize performance and cost, and champion DataOps, CI/CD, and governance.