Lead Data Architect

Capital Group•Los Angeles, CA

25d

About The Position

As a Lead Data Platform Architect, you will serve as the technical domain expert on foundational data and integration technologies to better support our business partners and development teams. You will steer technology strategy direction, define target state architectures, roadmaps, and help build reference architectures/implementations for scalable and resilient data platforms. 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 architectural solutions in lab environments before certifying them, ensuring robustness and scalability. 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), relational and NoSQL databases, data warehouse, big data/data lake, master data management, data modelling, data integration, data quality and governance, data engineering, BI reporting and analytics, data science, ML/AI, Python, Spark, AWS, and Azure
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

Nice To Haves

Prior experience in financial services industry/asset management space (preferred)

Responsibilities

Steer technology strategy direction
Define target state architectures and roadmaps
Build reference architectures/implementations for scalable and resilient data platforms
Identify and evaluate emerging technologies
Test and validate architectural solutions in lab environments
Provide guidance on governance, security, and compliance
Drive technology strategy and target state architecture
Evaluate emerging technologies and guide adoption
Influence architects, engineers, and stakeholders