Lead Data Architect

What you'll do

• Develop conceptual, logical, and physical data models aligned with business objectives and ensure traceability from concept to implementation.
• Establish and maintain standards for organizing digital content to improve usability and operational efficiency.
• Create high-quality Data Products that align with the Corporate Technology Data Mesh Strategy.
• Design and implement data governance processes to ensure compliance with firmwide risk management policies.
• Identify and implement automation opportunities for data controls to reduce manual effort and strengthen security measures.
• Monitor and socialize data risk metrics with senior stakeholders while partnering with teams to remediate control gaps.
• Promote best practices in data tiering, lineage, quality, retention, and localization during design reviews.
• Advise cross-functional teams on architecture solutions that satisfy regulatory requirements while maintaining scalability and cost efficiency.

What we're looking for

• 7+ years of experience in data architecture, information architecture, or enterprise data design roles.
• Experience designing conceptual, logical, and physical data models using tools like ER/Studio, ERwin, ArchiMate, or UML.
• Proven track record implementing large-scale data governance processes including policies, standards, controls, metrics, and evidence.
• Practical knowledge of metadata management, lineage, data quality frameworks, and cataloging solutions.
• Experience collaborating with CDO and technology stakeholders to influence others in a matrixed environment.
• Strong understanding of data risk management, regulatory drivers, and controls such as classification, retention, and localization.
• Excellent communication skills to translate business requirements into technical data designs and governance solutions.
• Familiarity with Data Mesh principles, cloud platforms (AWS/GCP, Snowflake/Databricks), and lineage/quality automation tools (preferred).