Senior Sitecore Developer

Enterprise Data Architect-Azure Databricks

Location: Richmond, VA
Job Type: Full Time
Experience: 12-16 years
Overview:
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 enablement
Design end-to-end data and AI architectures, including data ingestion, lakehouse storage, processing, analytics, machine learning, and generative AI workflows
Act as a strategic partner to business, analytics, and IT stakeholders to translate business objectives into scalable Databricks-based data and AI solutions
Lead evaluation, selection, and adoption of cloud-based data, analytics, and AI technologies, with Databricks as the core platform
Design architectures that support secure, resilient, and high-performance AI and analytics workloads at enterprise scale
Identify and implement automation opportunities across data pipelines, ML workflows, and AI production deployments
Introduce and apply emerging technologies and innovative architecture patterns to accelerate AI-driven business outcomes
Define and implement enterprise AI and advanced analytics architectures using Databricks ML and AI capabilities
Hands-on experience with machine learning platforms, MLOps pipelines, feature engineering, and model deployment
Strong understanding of Generative AI, Large Language Models (LLMs), vector search, and AI application architectures
Apply AI solutions to:
Demand planning and forecasting
Customer and consumer insights
Intelligent manufacturing
Supply chain optimization
Required Qualifications:
Bachelor's or master's degree in Computer Science, Engineering, or a related field
1216+ years of experience in enterprise data architecture and large-scale data platforms
Deep domain experience in customer, manufacturing, or supply chain data ecosystems
Proven ability to lead data and AI architecture initiatives and influence senior technical and business stakeholders
Strong communication skills with the ability to articulate complex AI and data concepts to executive leadership
Capgemini Architects certification level 3 or above, relevant data architecture certifications, IAF and/or industry certifications such as TOGAF 9 or equivalent.
Technology Stack (Representative)
Cloud Platforms
Microsoft Azure
Architecture Patterns
Lakehouse Architecture (Databricks-centric)
Data Mesh
Event-Driven Architecture
Data & Analytics Platforms
Databricks (Primary Platform)
Snowflake
Azure Synapse Analytics
Integration & Streaming
Apache Kafka
Azure Event Hubs
API Management
Skills: N/A