Minimum qualifications:

• Bachelor's degree or equivalent practical experience.
• 7 years of experience in data architecture, data engineering, or a related field.
• 5 years of experience working with data platforms and technologies.
• Experience designing and implementing data solutions for enterprise customers with hybrid and multi-cloud in the financial markets industry.
• Experience with data modeling and graph databases (e.g., RDF, property graphs, or graph databases).

Preferred qualifications:

• Google Cloud certifications (e.g., Professional Data Engineer, Professional Cloud Architect).
• Experience designing and implementing data governance, security, and compliance in a highly regulated environment.
• Experience contributing to open-source data projects.
• Familiarity with machine learning and AI concepts and their application in data management and analysis.
• Knowledge of emerging agentic technologies and their implications for data architecture.

About the job

Responsibilities

• Act as a primary technical point of contact for a large, complex financial services customer, building deep relationships with key stakeholders (e.g., CTOs, CDOs, Data Architects).
• Design and implement data governance frameworks, including data lineage, metadata management, access controls, and compliance with industry regulations (e.g., GDPR, CCPA, BCBS 239).
• Develop and advocate strategies for federating data responsibility across different business units and technical teams, enabling decentralized data ownership while maintaining centralized oversight and consistency.
• Design and implement data capabilities that seamlessly span across on-premise environments and multiple cloud providers, ensuring data portability, interoperability, and consistent access.
• Identify and address data requirements for emerging agentic technologies, such as real-time data streaming, vector databases, and secure data sharing for autonomous agents.