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Capital Group

Asset management with long-term portfolios

Lead Data & AI Platform Architect

Data ManagementConfirmed live in the last 24 hours
Full-timeIn-person

About the Job

Requirements

  • A bachelor's degree in Computer Science, Engineering, Information Systems, or a related technical discipline, or equivalent practical experience.
  • 10+ years of experience designing and delivering enterprise-scale data platforms, architecture strategies, and data management solutions.
  • Deep expertise with modern cloud data platforms and lakehouse architectures, including Databricks, Snowflake, Dremio, and related ecosystem tooling.
  • Experience designing platforms that support data products, self-service analytics, machine learning, and generative AI use cases.
  • Strong understanding of distributed data processing, data engineering, metadata management, governance, observability, and platform operations.
  • Proven experience defining target-state architectures and roadmaps for enterprise data modernization initiatives.
  • Hands-on knowledge of modern architecture patterns, including lakehouse architectures, data products and federated ownership models, semantic and knowledge-layer approaches, and retrieval-augmented AI architectures.
  • Ability to translate complex technical concepts into practical guidance for engineering, product, and business teams.
  • Experience designing architectures that enable trusted AI and machine learning outcomes through high-quality, governed data, with metadata and lineage capabilities, secure access patterns, and data quality controls.
  • Strong programming and engineering background, including Python, Spark, distributed data processing, and cloud-native development.
  • Experience establishing testing and validation strategies for modern data platforms.
  • Familiarity with synthetic test data generation, data quality validation, automated testing, and observability.
  • Ability to balance innovation with security, compliance, operational resilience, and risk management.
  • Demonstrated success building alignment across architecture, engineering, security, governance, and business teams.
  • Passion for mentoring others, promoting architectural excellence, and establishing reusable standards and patterns.
  • Customer-focused mindset with a track record of delivering measurable business outcomes through technology investments.
  • Ability to assess emerging technologies, identify strategic opportunities, and guide adoption decisions grounded in business value.

Responsibilities

  • Help shape the foundational data ecosystem by defining architecture strategies, reference patterns, and platform capabilities that enable trusted, scalable, and AI-ready data products.
  • Serve as a senior technical leader across modern data platforms, working closely with architects, engineers, product teams, and business stakeholders.
  • Establish architectural standards, guide strategic investments, and accelerate the responsible adoption of emerging technologies through stakeholder collaboration.
  • Help design and govern platforms that enable reusable, discoverable, and trusted data products; support modern analytics, machine learning, and generative AI workloads; balance reliability, performance, security, governance, and cost efficiency; and foster federated ownership while maintaining enterprise-wide standards and interoperability.
  • Evaluate emerging technologies, develop reference implementations, and provide practical guidance on architecture patterns, platform engineering, data governance, and AI readiness.
  • Help define testing and validation approaches that improve quality, reliability, and developer productivity across the data lifecycle.

Desired Qualifications

  • Familiarity with AI development frameworks, orchestration technologies, and cloud AI services.
  • Strong communication and storytelling skills with the ability to influence technical and non-technical audiences.

About the Company

Capital Group

Asset management with long-term portfolios

Capital Group is a private investment firm managing equity and fixed-income assets for millions of investors. It builds long-term, high-conviction portfolios using rigorous research and the American Funds lineup to pursue steady, durable results rather than short-term trades. It differentiates itself through strong personal accountability, a globally distributed team, and a research-driven investment process. Its goal is to improve people’s lives through successful investing.

Company size
5,001-10,000
Company stage
Not listed
Total funding
$65.4B
Headquarters
Dongcheng District, China
Founded
Not listed

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