Principal Architect, Data & Analytics

Work Flexibility: Hybrid The Principal Technical Architect provides technical leadership for complex data and analytics solutions across multiple programs and business domains. This role is responsible for translating business strategy into scalable, secure, and maintainable technology solutions while partnering closely with engineering, product, governance, and business teams. The architect combines strong solution design expertise with practical technical depth to ensure architecture standards, patterns, and best practices are successfully implemented in delivery. Technical Responsibilities: • Define solution architecture direction, standards, and reference patterns for complex data and analytics initiatives while ensuring alignment with enterprise architecture principles. • Own solution design artifacts including architecture diagrams, technical design documents, integration blueprints and data modeling. • Define reference architectures, design patterns, and reusable components for data ingestion, storage, transformation, and consumption. • Develop proof-of-concepts, reference implementations, and reusable implementation patterns that accelerate delivery and reduce technical debt across programs. • Evaluate emerging technologies, tools, and platforms, and provide recommendations on fit-for-purpose adoption. • Conduct architecture, design and code reviews, and technical quality assessments to ensure solutions meet scalability, performance, security, reliability, and supportability requirements. • Partner with Data Governance and Security teams to embed data privacy, access control, and compliance requirements into solution designs. • Lead proof-of-concepts and technical evaluations for new platforms, frameworks, advanced analytics capabilities, and architectural approaches to determine business applicability and architectural fit. • Partner with engineering teams to resolve complex performance, quality, scalability, reliability, integration, and operational challenges. • Provide technical mentorship to engineers and architects through active engagement in solution design, implementation planning, and delivery reviews. • Create, maintain and represent architecture documentation, standards, and decision records for the Data and Analytics vertical. • Partner with Product Management, platform teams and business stakeholders to translate strategic requirements into practical technical designs, delivery roadmaps, and phased implementation plans. Knowledge and Capabilities: • Deep expertise in enterprise data architecture, including data warehousing, Lakehouse, and real-time streaming architecture. • Strong understanding of cloud platforms, modern data platform ecosystems, and implementation practices across data engineering, integration, analytics, and operational support. • Ability to design solutions that balance scalability, performance, cost, and maintainability.