Job Role:

• As a Senior Data Architect you will design and govern a secure, scalable, and integrated data architecture that unifies complex transactional systems, enabling accurate, compliant, and analytics-ready data to support strategic decision-making in a fintech environment. This role is both strategic—influencing data roadmap and technology choices—and hands-on, involving close collaboration with technical teams and business stakeholders.

Responsibilities:

• Lead the redesign of our enterprise-wide data architecture, simplifying legacy systems and eliminating data silos and duplication.
• Design and maintain robust conceptual, logical, and physical data models that serve both analytical and operational needs.
• Establish and enforce data architecture standards that ensure scalability, performance, and alignment with business goals.
• Guide the integration of multiple transactional systems, creating unified, accessible, and high-quality datasets for reporting and advanced analytics.
• Define and champion data governance practices, including data quality controls, data lineage, metadata management, and stewardship frameworks.
• Implement data security and privacy measures that align with financial services regulations and best practices.
• Partner with cross-functional teams to turn business requirements into effective data solutions, from prototypes to production systems.
• Mentor data engineers and analysts and provide architectural oversight across all data initiatives.
• Evaluate and recommend modern data platforms, tools, and technologies to future-proof our ecosystem and support innovation.
• Optimize performance and reliability of our data pipelines, storage layers, and reporting infrastructure.
• Design and implement scalable strategies for data lifecycle management, including retention, archival, and purging.
• Drive automation and reusability in our data processes, enabling faster, more consistent data delivery across the organization.

Job Requirements

Requirements:

• Bachelor’s degree in Computer Science, Information Systems, Data Science, or a related field.
• Minimum 10 years of experience in data architecture or related data management roles.
• Proven experience in designing and implementing enterprise-scale data solutions.
• Strong background in data modelling (conceptual, logical, physical).
• Experience with data integration, ETL/ELT pipelines, and data warehousing.
• Experience with big data technologies and migration strategies from legacy to new platforms.
• Demonstrated knowledge of data governance, data quality frameworks, and regulatory compliance.
• Proficiency in SQL, Database design and management.
• Experience with BI/reporting tools.

Competencies / Attributes:

• Analytical Thinking – Ability to assess complex data environments, identify architectural gaps, and design scalable, efficient solutions.
• Problem Solving – Tackling issues such as data silos, performance bottlenecks, or compliance risks with innovative and practical solutions.
• Collaboration – Working cross-functionally with engineers, analysts, compliance officers, and business leaders to ensure alignment and execution.
• Technical Expertise – Deep understanding of data modelling, integration, cloud platforms, on-prem platforms, and governance frameworks to make informed architectural decisions.
• Attention to Detail – Ensuring data accuracy, quality, and consistency across systems, especially in high-stakes financial environments.
• Effective Communication – Translating complex technical concepts into clear, actionable insights for both technical and non-technical audiences.
• Strategic Thinking – Aligning data architecture with long-term business goals, regulatory requirements, and emerging technologies.
• Adaptability – Staying current with evolving fintech trends, tools, and compliance standards, and adjusting architectural strategies accordingly.