Principal Architect, Data Architecture & Design

Principal Architect Data Architecture and Design
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.

What you will do:

• Define and drive solution architecture strategies standards and reference patterns for enterprise Data & Analytics initiatives ensuring alignment with broader technology and business objectives.
• Lead the design of scalable secure and high-performing data solutions producing architecture blueprints technical designs integration frameworks and data models that accelerate delivery and adoption.
• Establish reusable architecture patterns and reference implementations for data ingestion transformation storage and consumption to improve consistency reduce technical debt and enhance engineering productivity.
• Partner with Product Engineering and Business stakeholders to translate strategic priorities into practical technical roadmaps solution designs and phased implementation plans.
• Evaluate emerging technologies platforms and architectural approaches providing expert recommendations that drive innovation and long-term business value.
• Conduct architecture design and technical quality reviews to ensure solutions meet enterprise requirements for scalability reliability security performance maintainability and operational excellence.
• Collaborate with Data Governance and Security teams to embed data privacy compliance access controls and risk management principles into solution architectures.
• Lead proof-of-concepts and technology evaluations for advanced analytics cloud platforms AI-driven capabilities and next-generation data architectures to determine business and technical fit.
• Provide hands-on leadership in resolving complex technical challenges related to performance integration scalability reliability and operational support across enterprise platforms.
• Mentor engineers and architects champion architectural best practices and foster a culture of technical excellence innovation and continuous improvement across the organization.

What you will need:

• Bachelors degree in Computer Science Engineering Information Systems or a related field required; Cloud Architecture (Azure AWS GCP) and TOGAF certifications are highly desirable.
• 10-14 years of experience in Data Engineering Solution Architecture or Technical Architecture roles with a proven track record of architecting and delivering large-scale enterprise data and analytics platforms.
• Deep expertise in modern cloud data ecosystems including Azure Databricks Lakehouse architectures and enterprise-scale data platforms with the ability to guide teams through complex technical challenges.
• Strong hands-on proficiency in SQL Python data modeling ETL/ELT CDC dimensional modeling and scalable data architecture patterns with a focus on performance resilience and maintainability.
• Experience integrating complex enterprise systems such as SAP Oracle JDE Salesforce or similar ERP platforms spanning commercial manufacturing supply chain finance and operational data domains.
• Demonstrated ability to design governed consumption-ready data products with robust data quality lineage security semantic modeling and analytics capabilities.
• Strong understanding of API-driven event-based and cloud-native architectures including DevOps CI/CD infrastructure-as-code observability and modern engineering practices.
• Proven ability to influence architectural decisions communicate technical trade-offs and build consensus across engineering product governance and executive stakeholders without direct authority.