Principal Architect

Principal Architect (Data)

The Principal Architect (Data) is a senior technical leader responsible for defining and advancing Subaru of America's enterprise data architecture strategy. Focusing on data platforms, integration, governance, analytics, and information security, this role plays a key part in defining how data is structured, managed, and utilized across the organization.

Serving as a trusted authority on enterprise data practices, the Principal Architect establishes standards for data quality, interoperability, and lifecycle management, while driving innovation in data enablement. Ensuring ongoing alignment with evolving regulatory and legal data requirements by proactively interpreting mandates, embedding compliance into architectural standards, and guiding the organization in adopting consistent approaches to data identification, classification, and protection across the enterprise.

Operating as a core member of a broader team of Principal Architects, this role collaborates closely with peers to align on standards, exchange best practices, and collectively drive a cohesive, enterprise-wide architectural vision. Recognized as an expert both internally and externally, this role sets the direction for scalable, secure, and business-aligned data architecture that supports SOA's most impactful initiatives.

Primary Responsibilities

Enterprise-Wide Architectural Data Leadership

• Define and evolve the enterprise data architecture across key data domains, including data platforms, integration, governance, analytics, and data security, ensuring cohesive and scalable end-to-end data solutions.
• Act as the lead architect for enterprise data initiatives and programs, aligning data strategy and investments with SOA's long-term business and operational objectives.
• Drive the integration and accessibility of data across applications and platforms to enable trusted, high-quality, and future-ready data capabilities.
• Align data governance with applicable regulatory and compliance frameworks, including data privacy and cybersecurity requirements, and proactively identify and mitigate risks across data assets and data flows to ensure adherence to legal, privacy and security standards.

Vision and Strategy Development

• Shape SOA's enterprise data strategy with a 3–5-year horizon, aligning data platforms, governance, and analytics capabilities with evolving business priorities and emerging trends.
• Identify and champion innovative data initiatives that drive transformational value and position SOA to lead in data-driven decision-making.
• Design and evolve the data strategy to proactively address emerging technologies, such as Artificial Intelligence (AI) and agentic workflows.
• Anticipate how these innovations will impact data architecture, governance, and security, and embed them into a forward-looking strategy that enables scalable, responsible, and business-aligned adoption across the enterprise.
• Lead the development of data architecture contributions as an integral component of the broader enterprise architecture strategy, ensuring alignment with organizational priorities while ensuring data is treated as a core enterprise asset.

Innovation and Influence

• Drive innovative data solutions that unlock new insights and create sustained strategic advantage for SOA.
• Elevate enterprise data capabilities by promoting best practices in data architecture, governance, and analytics, while fostering a culture of continuous improvement and experimentation.
• Extend influence beyond the organization by collaborating with corporate partners to define and deliver data exchange solutions that enable secure, scalable, and governed data sharing across ecosystems.

Solution Design and Problem Solving

• Independently address complex data architecture and integration challenges, including those involving emerging data technologies and unproven approaches.
• Design and implement enterprise-scale data solutions that span multiple systems and data domains, ensuring seamless data integration and interoperability.
• Ensure all data architecture designs prioritize scalability, data quality, resilience, and long-term sustainability to support evolving business…