Lead Data Architect

The Data Architect job family is responsible for designing, documenting, and evolving the data structures, models, standards, and architecture patterns that enable trusted, secure, and scalable use of data across the organization. Roles within this family partner closely with technology, analytics, risk, compliance, and business stakeholders to translate business needs into practical data solutions that support reporting, operations, decision-making, regulatory expectations, and long-term data strategy. As levels progress, responsibilities expand from supporting defined data architecture activities to leading complex initiatives, influencing enterprise standards, advising senior stakeholders, and advancing organizational data maturity.

Lead Data Architect

• Own enterprise data architecture, standards, and design patterns.
• Lead architecture and solution design for the Azure Data Platform and Databricks ecosystem.
• Implement data governance, security, data quality, integration, and performance standards in alignment with enterprise governance requirements.
• Provide technical leadership and mentorship to Data Engineers.
• Serve as the backup and escalation point for the Data Engineering team.
• Participate in the design, development, and review of data pipelines, ETL/ELT processes, and platform enhancements.
• Drive platform modernization, AI readiness, scalability, resiliency, and cost optimization initiatives.
• Partner with business and technology stakeholders to translate business requirements into scalable, secure, and maintainable data solutions.
• Ensure data platform solutions adhere to regulatory, security, architecture, and governance requirements established by the appropriate oversight functions.
• Evaluate emerging technologies and recommend enhancements to improve data platform capabilities, engineering efficiency, and business value delivery.