Job Description
Lead GCP Data Architect
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Location: Charlotte, United States Work Model: Client-facing; minimum 3 days per week onsite
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Job Description:
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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.
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Key Responsibilities:
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- 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.
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Required Qualifications:
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- 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.
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