Job description

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. What You'll Be Doing Client & Technology Leadership 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. Data Architecture & Modernization 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, 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. 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. AI, Data Agents & Generative AI 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, MLOps/LLMOps, and production readiness. Evaluate emerging Microsoft Data & AI capabilities and define practical enterprise adoption patterns. What You'll Bring to the Role Bachelor’s or Master’s degree in Computer Science, Engineering, Data Science, Information Systems, or a related discipline. 12+ years of technology experience, including significant experience in enterprise data platforms, cloud, analytics, and architecture. 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. 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. Experience with client discovery, presales solution architecture, estimation, technical presentations, and proposal development. 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. #LI-DD1 #LI-Remote 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. About Us Avtex is now TTEC Digital. The acquisition aligns to TTEC’s continued focus on fueling experience transformations. Our deep expertise in the most innovative and disruptive brands in the digital industry enables our clients to provide amazing customer experiences. TTEC Digital, and our 1,700+ employees, pioneer engagement and growth solutions that fuel the exceptional customer experience (CX). TTEC Engage is a 60,000+ employee service company, with customers in more than 80 countries. Together, we utilize a holistic approach, applying solutions from two centers of excellence, Engage and Digital. TTEC is a proud equal opportunity employer where all qualified applicants will receive consideration for employment without regard to age, race, color, religion, sex, sexual orientation, gender identity, national origin, disability. TTEC has fully embraced and is committed to expanding our diverse and inclusive workforce. We strive to reflect the communities we serve while delivering amazing service and technology centered around humanity. Rarely do applicants meet all desired job qualifications, so if you feel you would succeed in the role above, please take a moment and share your qualifications. #LI-REMOTEUS

Requirements

Must-haves

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.
What You'll Be Doing
Client & Technology Leadership
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.
Data Architecture & Modernization
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, 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.
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.
AI, Data Agents & Generative AI

Nice-to-haves

Relevant Microsoft Azure, Microsoft Fabric, and/or Databricks certifications preferred.

Application prep

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