Solution Architect (Data & AI)
Core
Architect an Active Metadata ecosystem and Data Discoverability strategy within a global Data Lakehouse platform to empower human users and AI agents.
Role type
Senior Solution Architect (Data & AI)
Builds
Scalable, governed data fabric integrating metadata with external catalogs, BI tools, and downstream AI applications.
Domain
Data Engineering / AI / Enterprise Architecture
Deliverable
production ML models | product features | infrastructure
Required skills
Databricks ecosystem expertise, Unity Catalog proficiency, Active Metadata architecture design, SQL, Python, Spark, API-based integrations
Preferred skills
Experience with Databricks Genie, Serverless SQL Warehouses, Lakehouse Monitoring, metadata-driven workflow automation
Technologies
Databricks, Unity Catalog, Python, SQL, Spark
Responsibilities
Define and lead the evolution of the Active Metadata framework; Design patterns for enterprise-wide data discoverability; Establish global data governance best practices (tagging, lineage, security); Architect metadata integration with external systems; Evaluate and implement emerging Databricks features; Mentor engineering teams on complex implementations
Seniority
Senior, hands-on IC with strategic oversight