Staff Data Architect
Core
Design architectural direction for AI/ML capabilities on the data platform, building agentic data pipelines and AI-native tools to turn data assets into differentiated products.
Role type
Staff Data Architect (AI & ML)
Builds
Agentic data pipeline factory, AI-native tools, advanced ML/deep learning workloads, vector and unified search systems
Domain
Mobile gaming, sports betting, data platforms, AI/ML
Deliverable
production ML models | product features | infrastructure
Required skills
Data architecture, Big Data platforms, ML engineering, Databricks, dbt, Spark, modern data modeling, vector/semantic search, AI agents, system design, stakeholder alignment
Preferred skills
Leading large-scale batch/streaming projects, predicting future data needs, data security compliance
Technologies
Databricks, Spark, dbt, LLMs, AI agents
Responsibilities
Own architectural vision for AI across data platform, design agentic data pipeline patterns, define architecture for advanced ML/deep learning workloads, establish reference architectures and standards, prevent fragmentation across AI efforts, partner with teams to translate ideas into buildable architecture, evaluate emerging AI/ML technologies, oversee performance and cost of AI systems, communicate value to stakeholders
Seniority
Staff, hands-on IC with strategic scope