Director - Data Architect (Microsoft Data & AI)

- Strong understanding of Medallion Architecture, data products, semantic layers, batch/streaming architectures, APIs, and event-driven integration. - Strong technical foundation in SQL, Python, Spark, distributed processing, data modeling, integration patterns, and APIs. - Strong understanding of Azure AI Foundry, Azure OpenAI, Azure AI Search, Fabric Data Agents, Generative AI, RAG, vector search, and Agentic AI architectures.

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.

- 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.

- Lead architecture for data modernization, cloud migration, analytics, and AI initiatives. - Architect modern lakehouse and data platform solutions using Microsoft Fabric, OneLake, 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.

- 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.

- 5+ years of architecture or senior technical leadership experience delivering large-scale enterprise data solutions. - Deep experience architecting Data & Analytics solutions on Microsoft Azure and defining target-state architectures and modernization roadmaps. - Strong experience with Microsoft Fabric and/or Azure Databricks, including OneLake, lakehouse architecture, Delta Lake, data engineering, semantic models, and analytics.

- Deep experience architecting Data & Analytics solutions on Microsoft Azure and defining target-state architectures and modernization roadmaps. - Strong experience with Microsoft Fabric and/or Azure Databricks, including OneLake, lakehouse architecture, Delta Lake, data engineering, semantic models, and analytics. - Strong understanding of Medallion Architecture, data products, semantic layers, batch/streaming architectures, APIs, and event-driven integration.

- Strong technical foundation in SQL, Python, Spark, distributed processing, data modeling, integration patterns, and APIs. - Strong understanding of Azure AI Foundry, Azure OpenAI, Azure AI Search, Fabric Data Agents, Generative AI, RAG, vector search, and Agentic AI architectures. - Experience designing architectures supporting enterprise analytics, Power BI, AI/ML, Generative AI, and conversational access to enterprise data.

- Strong knowledge of Microsoft Purview, Unity Catalog, data governance, security, privacy, metadata, lineage, and data quality. - Strong understanding of Azure security including Entra ID, RBAC, managed identities, Key Vault, VNets, and Private Link/private endpoints. - Demonstrated ability to translate business requirements into architecture decisions, solution designs, and implementation roadmaps.

- Strong executive communication and presentation skills with the ability to engage client leaders, Microsoft stakeholders, architects, and engineering teams. - Relevant Microsoft Azure, Microsoft Fabric, and/or Databricks certifications preferred. Salary

Team Overview For eleven years in a row our Microsoft practice has achieved Microsoft's Inner Circle Award designation and we have been recognized as 'Partner of the year for Microsoft Dynamics 365 Service', ‘Partner of the year for Microsoft Dynamics 365 Marketing’ and as a Partner of the year finalist for ‘Intelligent Sales & Marketing’. In addition to our ongoing Gold Partner status, our competencies range from software development and deployment of Dynamics 365, to Power Platform, Azure and Microsoft 365. In mid-2022, the team was also named as one of only a handful of launch partners for the Microsoft D365 Contact Center. Our integrated team approach of experienced CX engineers, developers, data scientists, and solution architects, design, deploy and support complex and fully integrated digital solutions that are focused on creating an exceptional customer experience.

- 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.

- Strong understanding of Azure AI Foundry, Azure OpenAI, Azure AI Search, Fabric Data Agents, Generative AI, RAG, vector search, and Agentic AI architectures. - Experience designing architectures supporting enterprise analytics, Power BI, AI/ML, Generative AI, and conversational access to enterprise data. - Strong knowledge of Microsoft Purview, Unity Catalog, data governance, security, privacy, metadata, lineage, and data quality.