Director – Data Architect – Azure Databricks (Direct Hire)
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.
Job Title: Director – Data Architect – Azure Databricks
Location: Onsite – Richmond, Virginia
Compensation: $195K base salary
What You'll Do
- 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
What’s Needed
- 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