About this opportunity
ManpowerGroup Global, Inc. lists this Director Data Architect Databricks and Azure opportunity in dallas, Texas. Review the employer’s description below for duties, qualifications and application requirements.
Job description
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
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Worksite address
dallas, TX, 75215, US
Who can apply
Review the original listing for work authorization, qualifications and employer requirements.