Data & AI Architect
Role Overview
Lead the design and architecture of modern, scalable Data, AI, and GenAI solutions for enterprise clients.
Translate business requirements into robust architectures across Azure, Databricks, Lakehouse, AI/ML, and Generative AI.
Work with stakeholders and cross-functional engineering teams to ensure security, governance, scalability, performance, and cost optimization.
Key Skills for This Role
Full Job Posting
About the role
Lead the design and architecture of modern, scalable Data, AI, and GenAI solutions for enterprise clients.
Translate business requirements into robust architectures across Azure, Databricks, Lakehouse, AI/ML, and Generative AI.
Work with stakeholders and cross-functional engineering teams to ensure security, governance, scalability, performance, and cost optimization.
Key responsibilities
- Design end-to-end Data & AI architecture aligned with business objectives.
- Architect data platforms using Azure, Databricks, ADLS, Synapse/Fabric, and ADF.
- Design AI/ML and GenAI solutions, including LLM, RAG, vector database, and Agentic AI architectures.
- Define data governance, security, scalability, performance, and cost optimization standards.
- Lead architecture workshops, proofs of concept, solution design, and technical presentations.
- Collaborate with Data Engineering, AI/ML, Cloud, Security, and Application teams.
Must-have qualifications
- 10+ years in Data Architecture, Data Engineering, or AI Architecture.
- Strong Azure and Databricks experience.
- Strong knowledge of Data Lakehouse, data modeling, ETL/ELT, and data governance.
- Experience with GenAI, LLMs, RAG, AI agents, and enterprise AI solutions.
- Strong stakeholder management and architecture leadership skills.
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