Data Architect-Azure Databricks - Full Time

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Avtech Solutions, is seeking the following. Apply via Dice today!Job Title : Data Architect-Azure DatabricksJob Type: Full TimeLocations: Richmond, VA (Onsite)Job Summary:The Enterprise Data Architect is responsible for defining and evolving a modern, Databricks centric data and AI architecture supporting customer, consumer, manufacturing, and supply chain domains. This role focuses on designing scalable, high performance data and AI platforms that enable advanced analytics, machine learning, and generative AI solutions aligned with business strategy.The architect partners closely with business, analytics, and technology leaders to drive adoption of cloud native data platforms, accelerate AI innovation, and enable data driven decision making across the enterprise.Role: Define and maintain enterprise data architecture principles, reference architectures, and future state roadmaps with a strong emphasis on Databricks and AI enablementDesign end to end data and AI architectures, including data ingestion, lakehouse storage, processing, analytics, machine learning, and generative AI workflowsAct as a strategic partner to business, analytics, and IT stakeholders to translate business objectives into scalable Databricks based data and AI solutionsLead evaluation, selection, and adoption of cloud based data, analytics, and AI technologies, with Databricks as the core platformDesign architectures that support secure, resilient, and high performance AI and analytics workloads at enterprise scaleIdentify and implement automation opportunities across data pipelines, ML workflows, and AI production deploymentsIntroduce and apply emerging technologies and innovative architecture patterns to accelerate AI driven business outcomesDefine and implement enterprise AI and advanced analytics architectures using Databricks ML and AI capabilitiesHands on experience with machine learning platforms, MLOps pipelines, feature engineering, and model deploymentStrong understanding of Generative AI, Large Language Models (LLMs), vector search, and AI application architecturesApply AI solutions to:Demand planning and forecastingCustomer and consumer insightsIntelligent manufacturingSupply chain optimizationRequired Qualifications:Bachelor's or master's degree in Computer Science, Engineering, or a related field12 16+ years of experience in enterprise data architecture and large scale data platformsDeep domain experience in customer, manufacturing, or supply chain data ecosystemsProven ability to lead data and AI architecture initiatives and influence senior technical and business stakeholdersStrong communication skills with the ability to articulate complex AI and data concepts to executive leadershipArchitects certification level 3 or above, relevant data architecture certifications, IAF andoror industry certifications such as TOGAF 9 or equivalent.Technology Stack (Representative)Cloud PlatformsMicrosoft AzureArchitecture PatternsLakehouse Architecture (Databricks centric)Data MeshEvent Driven ArchitectureData & Analytics PlatformsDatabricks (Primary Platform)SnowflakeAzure Synapse AnalyticsIntegration & StreamingApache KafkaAzure Event HubsAPI Management