Architect Lead

Capital Group; Irvine (CA); On-site; USD 201,683 - 322,693; Full time

Benefits offered by this job

Generous time-off and health benefits

2-for-1 matching gifts

On-demand professional development

Job summary

Capital Group in Irvine seeks a Lead Data & AI Platform Architect to define target state architectures, guide strategy, and build scalable data platforms optimized for Generative AI and ML.

You will leverage cloud data technologies (Snowflake, Databricks, Dremio), govern data, ensure AI-ready pipelines, and lead governance, security, and compliance.

Collaborate with engineers and stakeholders to adopt enterprise standards while delivering high-performance, cost-effective solutions.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or related field or equivalent experience.

Responsibilities

• Define target state architectures for foundational data and AI infrastructure.

Skills

Cloud-native data platforms

LLM Orchestration

Python

Spark

Data governance

Security

Stakeholder communication

Architectural design

Test & validation

Education

Bachelor's degree in CS/Engineering or related field

Tools

Snowflake

Databricks

Dremio

LangChain

LlamaIndex

AWS Bedrock

Azure OpenAI

Mosaic AI

Job description

Lead Data & AI Platform Architect

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.

Benefits:

• Enjoy generous time‑away and health benefits from day one, with the opportunity for flexible work options.
• Receive 2-for-1 matching gifts for your charitable contributions and the opportunity to secure annual grants for the organizations you love.
• Access on‑demand professional development resources that allow you to hone existing skills and learn new ones.

Qualifications:

• Have a 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.
• 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.

Southern California Base Salary Range: $201,683 – $322,693

New York Base Salary Range: $213,795 – $342,072

In addition to a highly competitive base salary, per plan guidelines, restrictions, and vesting requirements, you also will be eligible for an individual annual performance bonus, plus Capital's annual profitability bonus plus a retirement plan where Capital contributes 15% of your eligible earnings.

Note: Temporary positions in the United States are excluded from the above mentioned compensation and benefit plans.

We are an equal opportunity employer, which means we comply with all federal, state and local laws that prohibit discrimination when making all decisions about employment. As equal opportunity employers, our policies prohibit unlawful discrimination on the basis of race, religion, color, national origin, ancestry, sex (including gender and gender identity), pregnancy, childbirth and related medical conditions, age, physical or mental disability, medical condition, genetic information, marital status, sexual orientation, citizenship status, AIDS/HIV status, political activities or affiliations, military or veteran status, status as a victim of domestic violence, assault or stalking or any other characteristic protected by federal, state or local law.