Data Program Architect

Position Summary

The Data Program Architect brings a deep understanding of core business domains and data flows, paired with broad technical expertise across Oracle databases, Azure-based data warehouses, ETL and integration platforms, and secure data access patterns. This role ensures the data platform delivers scalable, compliant, and high-quality data in support of critical product initiatives, analytics, and operational needs. Acting as a senior architectural leader, the Data Program Architect collaborates closely with scrum teams, enterprise architects, security, infrastructure, and operations partners to research, design, socialize, and review data solutions.

The role establishes reference architectures and best practices, assesses platform health and technical debt, and guides effective, standards-aligned execution across teams.

• Define and own the end-to-end data platform architecture for Ascensus Government Savings, including vision, strategy, standards, and execution across operational, analytical, and integration layers, ensuring scalability, regulatory compliance, and secure data access.
• Lead architectural design for enterprise data systems, including Oracle-based transactional platforms, Azure-based data warehouses, and downstream analytics and reporting solutions; guide logical and physical database designs to support performance, resiliency, and extensibility.
• Own data platform tool and technology selection, including data warehouses, ETL and integration tools (e.g., Informatica), orchestration frameworks, and data access methods; conduct due diligence, assess vendor and cost trade-offs, and ensure alignment with enterprise and cloud strategies.
• Define and govern secure, consistent, and performant data access patterns and APIs, including MCP- or server-based designs, supporting internal applications, analytics users, and approved external consumers.
• Provide architectural oversight and execution guidance to data and delivery teams, translating high-level architecture into actionable designs and partnering with engineers to balance standards compliance with timely delivery.
• Partner with product, business, and technology leadership to shape the data platform roadmap, ensuring architectural decisions directly support business outcomes, regulatory requirements, analytics needs, and future growth.
• Establish and maintain reference architectures and design standards for data ingestion, transformation, storage, access, and governance, enabling reuse, consistency, and reduced technical debt.
• Oversee the overall health of the data platform portfolio, including scalability, performance, stability, cost efficiency, risk exposure, and technical debt; collaborate with stakeholders to prioritize remediation and investment initiatives.
• Promote collaboration and architectural transparency across engineering, security, infrastructure, database, risk, support, and operations teams; serve as a trusted enterprise-level architectural advisor.
• Drive innovation and continuous improvement in data architecture, tooling, and processes by evaluating emerging technologies and patterns relevant to fintech and cloud-native data platforms.
• Provide hands-on technical leadership and mentorship, guiding engineers and architects on best practices in data modeling, ETL design, cloud data patterns, and secure data access.
• Ensure data security, privacy, and compliance by design, working closely with security and risk teams to prevent unauthorized access, improper transmission, or unapproved disclosure of regulated data.
• Exercise broad technical autonomy and judgment, making architecture and design decisions with significant business impact while aligning with enterprise principles and governance.

• 15+ years of experience in Information Technology, with significant experience in data architecture and enterprise data platform design; experience in financial services or fintech environments strongly preferred.
• Deep expertise in enterprise data architecture, including transactional and analytical platforms that support scale, regulatory compliance, and governed data access.
• Strong background in data…