Director – Data Architect, Microsoft Data & AI

🕒 Setembro 16

🤠 Texas – Remoto

🤠 Texas – Remote

💵 $190.000 - $230.000 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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TTEC Digital

SiteLinkedInTodas as Vagas

1001 - 5000 funcionários

💼 Consultoria

📣 Marketing

🤖 Inteligência Artificial

Consulting • Marketing • Artificial Intelligence

TTEC Digital é líder em transformação da experiência do cliente, combinando tecnologia e empatia humana para melhorar as interações com o cliente. Com foco em inteligência artificial, tecnologia de central de contato e gestão de relacionamento com o cliente, a TTEC Digital oferece soluções personalizadas para transformação digital de médio porte. Suas ofertas abrangentes incluem análise de dados, estratégia e design de CX, e serviços gerenciados que otimizam o engajamento dos clientes em diversos setores.

Descrição

• 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. • 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 validating designs and guiding implementation. • Define target-state Data & AI architectures, solution architectures, standards, and reusable Microsoft ecosystem design patterns. • Lead data modernization, cloud migration, analytics, and AI initiatives. • Architect lakehouse and data platform solutions using Microsoft Fabric, OneLake, Azure Databricks, ADLS, Delta Lake, and Power BI. • Define and implement Medallion Architecture patterns for ingestion, transformation, data quality, governance, and consumption. • Design batch and streaming ingestion, transformation, integration, storage, semantic models, APIs, analytics, and AI consumption architectures. • Establish strategies for data products, enterprise data models, semantic layers, metadata, lineage, data quality, and master/reference data. • Embed governance, security, privacy, metadata, lineage, and data quality into architecture designs. • Define governance patterns using Microsoft Purview, Fabric governance capabilities, or Databricks Unity Catalog. • Architect AI-ready data platforms supporting Generative AI, Agentic AI, and enterprise AI applications. • Design solutions using Azure AI Foundry, Azure OpenAI, Azure AI Search, Fabric Data Agents, LLMs, RAG, embeddings, vector search, and AI agents. • Establish approaches for grounding, AI evaluation, observability, security, MLOps/LLMOps, and production readiness. • Evaluate emerging Microsoft Data & AI capabilities and define enterprise adoption patterns.

🎯 Requisitos

• 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.