Architect Lead

Capital Group•Irvine, NY

1d•Hybrid

About The Position

As a Lead Data & AI Platform Architect, 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 also be responsible for identifying and evaluating emerging technologies beneficial to this domain. 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. This position requires a practical approach to testing and validating solutions in lab environments, ensuring that data pipelines are AI-ready, performant, and secure. You will act as a thought leader in data architecture, providing guidance on governance, security, and compliance. You will serve as the technical authority on foundational data and integration technologies, driving the technology strategy and target state architecture to support business goals. You will also evaluate emerging technologies, guiding the organization to adopt innovations that deliver value while minimizing disruption to end-users. Collaboration and thought leadership will be essential as you influence architects, engineers, and stakeholders to achieve strategic goals. We work with our business partners and the rest of IT to plan, design, enable and mature the capabilities needed for Capital Group to accomplish our mission of delivering superior, long-term investment results and high-quality service.

Requirements

Bachelor’s degree in Computer Science, Engineering, or a related technical field or equivalent experience.
Demonstrated ability in defining, designing, and delivering enterprise-scale data strategies and data management solutions leveraging sound architecture principles, approaches, and patterns.
At least 10 years of deep architecture and engineering experience with expertise in: Cloud-native data platforms (Snowflake, Databricks, Dremio), LLM Orchestration (LangChain, LlamaIndex), and AI development frameworks.
Hands-on experience with modern patterns, including domain-driven design, event-driven architecture, RAG architectures, Agentic AI patterns, Semantic Layers, and Data Mesh.
Expertise in Python, Spark, and the deployment of large language models (LLMs) via AWS Bedrock, Azure OpenAI, or Mosaic AI.
Proven ability to define, design, and deliver enterprise-scale data strategies and solutions based on sound architectural principles using architectural choices that optimize performance, cost, and security.
Hands-on experience with modern data architecture patterns, including domain-driven design, event-driven architecture, stream processing, Lakehouse, service-based/APIs, data mesh, and/or data fabric.
Demonstrated capability to research, assess, and recommend new and emerging trends and implement emerging technologies with a focus on minimizing user disruption.
Excellent interpersonal skills, written and verbal communication skills, with the ability to generate and present compelling content to guide strategic decisions.
Adopted customer-centric approaches by prioritizing stakeholder needs, ensuring data solutions drive meaningful business impact and user experience.
Can build consensus across business and technology teams by fostering collaboration and shared ownership, partner with, and effectively influence architects and engineers to adopt/adhere to enterprise standards and deliver well-architected data-centric solutions while balancing technical depth with business outcomes.
Can proactively identify and mitigate architectural risks while ensuring adherence to regulatory and compliance standards.

Responsibilities

Serve as the technical domain expert on foundational data, integration, and AI infrastructure technologies.
Steer technology strategy, define target state architectures, and build reference implementations for scalable, resilient data platforms optimized for Generative AI and Machine Learning.
Identify and evaluate emerging technologies beneficial to this domain.
Possess hands-on expertise in modern cloud technologies, including but not limited to Databricks, Dremio, Snowflake, and tools for data governance, protection, and quality.
Test and validate solutions in lab environments, ensuring that data pipelines are AI-ready, performant, and secure.
Act as a thought leader in data architecture, providing guidance on governance, security, and compliance.
Serve as the technical authority on foundational data and integration technologies, driving the technology strategy and target state architecture to support business goals.
Evaluate emerging technologies, guiding the organization to adopt innovations that deliver value while minimizing disruption to end-users.
Influence architects, engineers, and stakeholders to achieve strategic goals.
Plan, design, enable and mature the capabilities needed for Capital Group to accomplish our mission of delivering superior, long-term investment results and high-quality service.
Define, design, and deliver enterprise-scale data strategies and solutions based on sound architectural principles using architectural choices that optimize performance, cost, and security.
Research, assess, and recommend new and emerging trends and implement emerging technologies with a focus on minimizing user disruption.
Generate and present compelling content to guide strategic decisions.
Adopt customer-centric approaches by prioritizing stakeholder needs, ensuring data solutions drive meaningful business impact and user experience.
Build consensus across business and technology teams by fostering collaboration and shared ownership.
Partner with, and effectively influence architects and engineers to adopt/adhere to enterprise standards and deliver well-architected data-centric solutions while balancing technical depth with business outcomes.
Proactively identify and mitigate architectural risks while ensuring adherence to regulatory and compliance standards.