Solutions Architect - CPG and Manufacturing

About the role

As a Solutions Architect, you will own the technical strategy for your customers, driving platform adoption and serving as a trusted technical partner. You will combine deep technical expertise with a hands-on builder mindset to position Databricks as the foundation of your customers' data and AI strategy. You will also develop a technical specialization and serve as a go-to resource within your team.

Responsibilities

• Own the end-to-end technical strategy for your accounts from discovery through production deployment.
• Lead complex architecture discussions designing production-grade solutions across data engineering, AI/ML, agentic systems, and real-time analytics.
• Serve as a trusted technical partner to customer architects, engineering leads, and Directors.
• Develop an emerging technical specialization in AI/ML, agentic architectures, or a related domain.
• Orchestrate cross-functional resources to deliver end-to-end AI and data solutions for complex customer needs.
• Provide structured feedback to product teams on customer requirements, AI capabilities, and competitive gaps.

Required skills

• Solutions architecture
• Data engineering
• Data science
• AI/ML
• Technical pre-sales
• Lakehouse design
• Scalable pipelines
• Real-time streaming
• Cloud-native platforms
• Agentic architectures
• Ontology design
• Databricks Platform
• Public cloud
• Security and governance

Nice to have

• Snowflake
• AWS native services
• Azure Synapse
• CPG and Manufacturing domain expertise

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline
• Equivalent practical experience

Certifications

• Databricks Data Engineer
• Databricks ML Associate
• Databricks ML Professional
• Databricks Platform

About the Company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.