Job Summary :

We are seeking a highly experienced AI Data Architect to lead the architecture and design of enterprise-scale AI and data platforms. The ideal candidate will have extensive expertise in Enterprise Architecture, Data Architecture, Generative AI, Snowflake, Azure Cloud, and AI Governance, with a proven ability to define target-state architectures and drive enterprise-wide digital transformation initiatives.

This role will be responsible for designing scalable data ecosystems, enabling AI-driven business capabilities, establishing governance frameworks, and delivering secure, reusable, and future-ready enterprise architectures.

Key Responsibilities :

- Define and evolve the enterprise architecture for AI-powered data platforms, ensuring scalability, security, and alignment with business objectives.

- Design enterprise data architecture, information architecture, semantic models, metadata standards, and canonical data models.

- Build and implement a unified enterprise data platform using Snowflake as the central data layer.

- Design reusable enterprise data services, shared business entities, APIs, and integration frameworks across multiple AI applications.

- Establish enterprise metadata management, data lineage, governance, and semantic standards using tools such as Collibra.

- Define architecture standards for integrating Snowflake, SharePoint, Bloomberg APIs, Azure services, enterprise applications, and AI platforms.

- Design and govern enterprise API strategies, integration patterns, and reusable architecture frameworks.

- Architect and enable Generative AI, Agentic AI, LLM, and MCP-based enterprise solutions.

- Establish enterprise AI governance frameworks covering security, compliance, responsible AI, auditability, and operational excellence.

- Provide architectural leadership for AI application productionization and enterprise platform modernization initiatives.

- Collaborate with business leaders, architects, engineering teams, and stakeholders to define strategic roadmaps and implementation plans.

- Mentor solution architects and engineering teams while driving architecture governance and technical excellence.

- Evaluate emerging technologies and recommend innovative solutions to enhance enterprise AI capabilities.

Required Skills:

- 10-16 years of experience in enterprise technology consulting, architecture, or data engineering.

Strong expertise in:

1. Enterprise Architecture

2. Data Architecture

3. Information Architecture

4. Canonical Data Modeling

5. Semantic Modeling

6. Metadata Management

7. Data Governance

8. Integration Architecture

9. Enterprise Platform Design

- Hands-on experience with:

1. Snowflake Architecture

2. API Design & API Management

3. Azure Cloud Services

4. SharePoint Integration

5. GitHub & DevOps Practices

- Deep understanding of:

1. Generative AI Architecture

2. Agentic AI

3. Large Language Models (LLMs)

4. MCP Frameworks

5. AI Application Productionization

6. Knowledge Graphs

7. Enterprise AI Governance

- Experience implementing enterprise metadata, lineage, and governance frameworks using Collibra or similar platforms.

- Strong understanding of enterprise integration patterns and cloud-native architectures.

- Knowledge of security, compliance, audit, and regulatory requirements for enterprise AI platforms.

- Excellent stakeholder management, communication, and consulting skills.