Director Data Architect (Microsoft Data & AI)
Austin, TX - USA
Job Summary
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 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.
- 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.
- Bachelors or Masters 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.
Required Experience:
Director
About Company
We believe that humanity and technology should âco-exist, and that at the nexus of the âmost powerful experiences, humanity and technology collide. At TTEC Digital, we combine the expertise, innovation, partnerships, and passion of three industry-leading customer experience com ... View more