Director Data Architect Databricks and Azure
Role details
Job location
Tech stack
Job description
Our client, a leading organization in the industry, is seeking a passionate and innovative Director - Data Architect - Azure Databricks to join their Data & Analytics leadership team. This is a permanent, onsite role in Richmond, Virginia, where you will play a critical role in shaping enterprise-wide data, analytics, and AI strategy.
As a key architectural leader, you will define and evolve a modern, Databricks-centric data and AI architecture supporting customer, consumer, manufacturing, and supply chain domains. The ideal candidate brings strong strategic thinking, executive-level communication, and a collaborative mindset to drive cloud-native adoption and AI-enabled business outcomes., * Define and maintain enterprise data architecture principles, reference architectures, and future-state roadmaps with a strong focus on Databricks and AI enablement
- Design end-to-end data and AI architectures, including ingestion, lakehouse storage, processing, analytics, machine learning, and generative AI workflows
- Partner closely with business, analytics, and technology leaders to translate strategic 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 emerging technologies and innovative architectural patterns to accelerate AI-driven business outcomes
- Define and implement enterprise AI and advanced analytics architectures, including hands-on exposure to ML platforms, MLOps pipelines, feature engineering, and model deployment
- Apply AI solutions across domains such as demand planning and forecasting, customer insights, intelligent manufacturing, and supply chain optimization
Requirements
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- 12-16+ years of experience in enterprise data architecture and large-scale data platforms
- Deep domain experience within customer, manufacturing, or supply chain data ecosystems
- Proven ability to lead enterprise data and AI architecture initiatives and influence senior technical and business stakeholders
- Strong communication skills with the ability to articulate complex data and AI concepts to executive leadership
- Relevant architecture certifications preferred (e.g., TOGAF 9, IAF, or equivalent)
What's in It for You
- Opportunity to work on cutting-edge AI, GenAI, and advanced analytics initiatives
- Influence enterprise-wide data and AI strategy within a forward-thinking organization
- Collaborate with a highly skilled, innovative leadership team
- Engage in high-impact projects driving measurable business transformation
- Competitive compensation aligned with experience and leadership scope