Architect Lead

Capital Group

Southern California, US
Base: $201,683-$342,072; bonus/equity: annual perf...
On-site
Cloud-native data platforms
Llm orchestration
Ai development frameworks
Capital Group is seeking a Lead Data Architect to guide the technical strategy and architecture for data platforms focused on Generative AI and Machine Learning. The ideal candidate should have extensive experience in cloud-native data platforms and modern data architecture patterns, with a strong emphasis on collaboration and stakeholder engagement

Job Summary

  • You will serve as the technical domain expert on foundational data, integration, and AI infrastructure technologies.
  • You will steer technology strategy, define target state architectures, and build reference implementations for scalable, resilient data platforms optimized for Generative AI and Machine Learning.
  • You will be expected to possess hands-on expertise in modern cloud technologies, including but not limited to Databricks, Dremio, Snowflake, and tools for data governance, protection, and quality.

Matching Summary

Match Score: 85

Capital Group is seeking a Lead Data Architect to guide the technical strategy and architecture for data platforms focused on Generative AI and Machine Learning. The ideal candidate should have extensive experience in cloud-native data platforms and modern data architecture patterns, with a strong emphasis on collaboration and stakeholder engagement.

Salary

Base: $201,683-$342,072; Bonus/Equity: Annual performance bonus, annual profitability bonus; Benefits: Company-funded retirement contribution (15% of eligible earnings), generous time-away and health benefits, charitable matching gifts, professional development resources

Skills & Requirements

Must-have

  • Cloud-native data platforms
  • LLM Orchestration
  • AI development frameworks
  • Data governance, protection, and quality
  • Scalable, resilient data platforms

Nice-to-have

  • Thought leadership in data architecture
  • Customer-centric approaches
  • Building consensus across teams
  • Minimizing user disruption

Key Requirements

  • Bachelor’s degree in Computer Science, Engineering, or equivalent experience
  • 10+ years of deep architecture and engineering experience
  • Hands-on experience with modern patterns (domain-driven design, event-driven architecture, RAG, Agentic AI, Semantic Layers, Data Mesh)
  • Expertise in Python, Spark, and LLM deployment (AWS Bedrock, Azure OpenAI, Mosaic AI)

Work Rights

Not specified

Tailored Resume

Cover Letter