Solution Architect

What you will be doing:

• This isn t just another architecture role it s an opportunity to redefine how digital platforms consume and interact with data. You ll be:
• Shaping an API-first, event-driven data ecosystem that powers real-time, high-performance digital experiences.
• Architecting scalable, cloud-native data solutions that drive innovation in financial technology.
• Guiding engineering teams and influencing data strategy, ensuring long-term scalability and resilience.
• Delivering real business impact not just designing systems, but ensuring they are built, adopted, and optimized for success.
• Architect the Future of Data-Driven Digital Experiences Design and implement scalable, resilient, and event-driven data solutions that power real-time digital interactions.
• Champion API-First & Cloud-Native Data Strategies Ensure data architectures align with modern cloud-native principles, security best practices, and API-driven ecosystems.
• Define Data Governance Framework & Security Standards Establish governance models, access control mechanisms, and security frameworks to ensure responsible data management.
• Optimize for Real-Time Data Access Design operational data stores (ODS), caching strategies, and messaging pipelines to enable high-performance data consumption.
• Lead the Evolution from Legacy to Modern Data Architectures Drive data migrations and modernize legacy databases into cloud-native, distributed architectures, leveraging Modern Data Architecture principles.
• Standardize & Scale Data Architecture Best Practices Establish reusable frameworks, reference architectures, and data management patterns that support digital applications.
• Develop Reference Architectures for Data Capabilities Define data-related technical capabilities and best practices to support solution architects and engineering teams.
• Drive Developer-First Enablement Collaborate with platform engineering teams to build scalable, reusable data access layers and API-driven data services.
• Establish Cloud-Based Integration & Data Movement Patterns Define patterns for Data Fabric, Data Mesh, and Event Streaming to optimize data movement across the cloud.
• Ensure Performance, Resilience & Observability Define strategies for data availability, consistency, and observability to ensure robust and efficient data flows.
• Collaborate Across Disciplines Partner with product teams, solution architects, and engineering leads to ensure data solutions meet business objectives.
• Mentor & Influence Provide technical leadership, guiding teams to adopt best practices in modern data architecture, governance, and optimization.

What you will need:

• 8 years of experience in data architecture, data engineering, or solution architecture, with a focus on real-time digital applications and machine learning experience.
• Deep expertise in event-driven, API-based, and distributed data architectures for high-performance applications.
• Strong knowledge of data modeling, structured data access, and domain-driven data design to enable business capabilities.
• Proven experience designing scalable, resilient, and high-availability data solutions, leveraging ODS, in-memory caching, and messaging architectures.
• Expertise in Data Governance Frameworks, access controls, and compliance best practices.
• Hands-on experience in migrating legacy data systems to cloud-native, scalable data architectures.
• Strong grasp of modern authentication and authorization models, including OAuth, OpenID Connect, and role-based access control (RBAC).
• Proficiency in SQL, NoSQL, and hybrid data models, with the ability to optimize for different application needs.
• Familiarity with DevSecOps principles, ensuring security, compliance, and automation in data solutions.
• Ability to educate, influence, and align solution architects and engineering teams on data architecture best practices.
• Excellent communication and leadership skills, capable of driving strategic discussions and ensuring adoption of best practices.
• Experience in fintech, SaaS, or large-scale consumer-facing digital platforms is highly preferred.
• Self-starter with a strategic mindset, low ego, and a passion for innovation in data architecture.

Bachelor s degree in Computer Science, Engineering, or a related technical field preferred