Lead GCP Data Architect

Cyberobotix LLC; Charlotte (NC); On-site; USD 150,000 - 190,000; Full time

Job summary

Cyberobotix LLC in Charlotte, NC is seeking an experienced Lead Data & AI Architect to drive enterprise data and AI transformation for a financial services client.

You will design scalable data platforms on GCP (BigQuery, Dataflow, Pub/Sub, Vertex AI) and lead GenAI, RAG, and agentic AI initiatives while ensuring governance and security. This role requires strong leadership, client engagement, and delivery of roadmaps with cross-functional teams.

Qualifications

• 12+ years of experience in Data, AI, Cloud, or Enterprise Architecture.
• Strong hands-on GCP architecture and data engineering expertise.
• Experience with enterprise data platforms, batch and streaming architectures, and production AI/ML solutions.
• Strong knowledge of GenAI, RAG, and agentic AI architecture.
• Financial services or banking industry experience.
• Excellent client-facing communication and technical leadership skills.
• Preferred: Google Cloud Professional Architect or Data Engineer certification.

Responsibilities

• Define end-to-end Data & AI architecture, target-state design, and transformation roadmaps.
• Design scalable data platforms using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, and Vertex AI.
• Architect GenAI, RAG, vector search, embeddings, and agentic AI solutions.
• Establish data governance, security, compliance, and architecture standards.
• Lead architecture reviews, implementation planning, and technical teams.
• Collaborate with senior client stakeholders and business leaders.

Skills

GCP

Data engineering

GenAI

RAG

Agentic AI

Leadership

Client-facing

Tools

BigQuery

Cloud Storage

Dataflow

Pub/Sub

Dataproc

Vertex AI

Job description

Job Description:

We are seeking an experienced Lead Data & AI Architect to lead enterprise Data and AI transformation for a leading financial services organization. The ideal candidate will have deep expertise in Google Cloud Platform (GCP), enterprise data architecture, Generative AI, and agentic AI solutions.

Key Responsibilities

• Define end-to-end Data & AI architecture, target-state design, and transformation roadmaps.
• Design scalable data platforms using BigQuery, Cloud Storage, Dataflow, Pub/Sub, Dataproc, and Vertex AI.
• Architect GenAI, RAG, vector search, embeddings, and agentic AI solutions.
• Establish data governance, security, compliance, and architecture standards.
• Lead architecture reviews, implementation planning, and technical teams.
• Collaborate with senior client stakeholders and business leaders.

Required Qualifications

• 12+ years of experience in Data, AI, Cloud, or Enterprise Architecture.
• Strong hands-on GCP architecture and data engineering expertise.
• Experience with enterprise data platforms, batch and streaming architectures, and production AI/ML solutions.
• Strong knowledge of GenAI, RAG, and agentic AI architecture.
• Financial services or banking industry experience.
• Excellent client-facing communication and technical leadership skills.
• Preferred: Google Cloud Professional Architect or Data Engineer certification.