Technical Architect 8
Core
Pre-sales enterprise domain expert combining deep data platform knowledge with broad technical skills to help customers navigate complex data and AI challenges, from unified data platforms to agentic AI systems.
Role type
Pre-sales Technical Architect (Data & AI)
Builds
Winning architectures, solution best practices, reference architectures, and go-to-market strategies for enterprise data and AI programs.
Domain
Enterprise Data & AI (Cloud Data Warehouses, Lakehouses, Agentic AI, LLMs)
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Cloud data warehouse and lakehouse platforms, SQL, data modeling, ML fundamentals, agentic AI/generative AI, AI coding tools, Python, cloud architectures, data management, integration principles, security principles, strategic problem solving, C-suite communication
Preferred skills
Data architect/solutions engineer background, building/administering cloud data platforms, designing ML workflows, data governance/compliance, design thinking, specific industry vertical experience, Salesforce platform familiarity
Technologies
Snowflake, Databricks, BigQuery, Redshift, Azure Synapse, AWS, GCP, Azure, Kafka, Pub-Sub, LangChain, LangGraph, CrewAI, AutoGen, OpenAI, Anthropic, Gemini, Llama, Mistral, SageMaker, Vertex AI, Azure ML, Databricks MLflow
Responsibilities
Lead technical and business discussions around enterprise data and AI programs, translate requirements into winning architectures, help sales teams develop propositions and go-to-market strategies, participate in delivering solution best practices and enablement sessions
Seniority
Senior, hands-on IC with strategic consulting
