Principal Data Solutions Architect

What will you contribute?

Finastra’s Global Data Office is responsible for the strategy, governance, and enablement of data assets across 130+ countries globally to unlock innovation for our business units and 8000+ customers, including 90% of the world’s top banks. Reporting to the Global Head of Data Governance, this position will play a key role on the Enterprise Data Governance team, supporting the implementation and ongoing development of data governance initiatives across Finastra. It involves both business and technical responsibilities, with an emphasis on assisting in the development, configuration, and maintenance of Finastra’s enterprise data governance systems. The purpose is to maintain the security, accessibility, quality, usability, and integrity of critical data assets. The successful candidate will support the Global Data Office in advancing Finastra’s data governance strategies and solutions aimed at enhancing the technical infrastructure that underpins our governance framework. This team will help drive a global transformation Finastra’s data governance program, which will not only meet and exceed security, regulatory and compliance requirements, but also accelerate innovation in the development of data, analytic and AI products, unlocking new opportunities for monetization

Responsibilities & Deliverables

• Design, build, and maintain scalable data pipelines and ETL processes to support analytics, reporting, and operational data needs.
• Collaborate with data architects, analysts, and business stakeholders to understand data requirements and translate them into technical solutions.
• Ensure data quality, integrity, and security across all stages of the data lifecycle.
• Optimize data workflows for performance, reliability, and cost-efficiency in cloud and hybrid environments.
• Develop and maintain data models, schemas, and documentation to support data governance and compliance standards.
• Integrate data from various internal and external sources, including APIs, databases, and third-party platforms.
• Support real-time and batch data processing using modern data engineering tools and frameworks.
• Troubleshoot and resolve data-related issues, ensuring minimal disruption to business operations.

Required Skills & Experience

Qualifications