Director - Data Architect; Microsoft Data & AI

At TTEC Digital, we coach clients to ensure their employees feel valued, and fully supported, because an amazing customer experience is an employee first process. Our vision is the same, a place where employees know they can thrive.

We are seeking an experienced Director - Data Architect to provide architecture leadership across our Microsoft Data & AI practice. This role will translate client business and technology priorities into scalable, secure, governed, and AI-ready data architectures using Microsoft Azure, Microsoft Fabric, and Azure Databricks.

The ideal candidate combines deep Microsoft Data & AI architecture expertise, hands-on technical depth, and strong client-facing skills. This individual will lead architecture from discovery and solution design through implementation while helping clients modernize their data environments and enable Analytics, Generative AI, and Agentic AI capabilities.

• Serve as a trusted Data & AI architecture advisor to client business and technology stakeholders.
• Lead client discovery and architecture workshops, translating business needs into executable Microsoft Data & AI architectures and modernization roadmaps.
• Guide architecture decisions across Microsoft Fabric, Azure Databricks, or integrated Fabric + Databricks architectures based on client requirements and architectural fit.
• Communicate architecture alternatives, trade-offs, risks, costs, and recommendations to executive and technical audiences.
• Support presales activities including solution shaping, architecture development, technical presentations, estimation, proposals, and statements of work.
• Collaborate with Microsoft architects, account teams, and technology specialists on strategic opportunities.
• Provide technical leadership and mentorship to architects and engineering teams while maintaining sufficient hands-on depth to validate designs and guide implementation.

• Define target-state Data & AI architectures, solution architectures, standards, and reusable design patterns leveraging the Microsoft ecosystem.
• Lead architecture for data modernization, cloud migration, analytics, and AI initiatives.
• Architect modern lakehouse and data platform solutions using Microsoft Fabric, One Lake, Azure Databricks, ADLS, Delta Lake, and Power BI.
• Define and implement Medallion Architecture (Bronze, Silver, Gold) patterns for scalable ingestion, transformation, data quality, governance, and consumption.
• Design architectures spanning batch and streaming ingestion, data transformation, integration, storage, semantic models, APIs, analytics, and AI consumption.
• Establish strategies for data products, enterprise data models, semantic layers, metadata, lineage, data quality, and master/reference data.
• Develop architecture patterns that balance scalability, security, performance, cost, maintainability, and speed-to-value.
• Embed data governance, security, privacy, metadata, lineage, and data quality into architecture and solution designs.
• Define governance patterns leveraging Microsoft Purview, Fabric governance capabilities, or Databricks Unity Catalog.
• Promote governed and reusable enterprise data products rather than isolated project-specific datasets.

• Architect AI-ready data platforms supporting Generative AI, Agentic AI, and enterprise AI applications.
• Design solutions leveraging Azure AI Foundry, Azure OpenAI, Azure AI Search, Microsoft Fabric Data Agents, LLMs, RAG, embeddings, vector search, and AI agents.
• Define patterns connecting governed enterprise data, semantic models, unstructured knowledge, AI models, and agents.
• Establish approaches for grounding, AI evaluation, observability, security,…