Description

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)

Key Skills

Education

Any Graduate