Data Program Architect

Overview In this leadership role, you define and drive the architecture vision and execution for the Ascensus Government Savings data platform. You own critical decisions across storage, integration, access, and tooling, shaping the platform roadmap with product, business, and technology leaders. You will collaborate across scrum teams, security, and operations to deliver scalable, compliant, and high-quality data for analytics, product initiatives, and operations. This role offers strategic influence, hands-on technical leadership, and impact on fintech data architecture at scale. Compensation / Benefits401(k) matchMedicalDentalVisionPaid-Time-Off ResponsibilitiesDefine and own end-to-end data platform architecture across operational, analytical, and integration layers with focus on scalability and complianceLead architectural design for Oracle transactional platforms, Azure data warehouses, and downstream analyticsOversee data platform tooling and technology selection (e.g., data warehouses, ETL/integration tools like Informatica), assess tradeoffs, align with cloud strategyDefine secure, consistent data access patterns and APIs for internal apps, analytics users, and external consumersProvide architecture oversight and translate high-level design into actionable implementations with delivery teamsCollaborate with product, business, and technology leadership to shape the data platform roadmap to meet business and regulatory needsEstablish reference architectures and standards for ingestion, transformation, storage, access, and governanceMonitor data platform health (scalability, performance, cost, risk) and guide remediation and investmentFoster cross-team collaboration and provide enterprise-level architectural guidanceDrive innovation in data architecture, tooling, and processes by evaluating fintech and cloud-native trendsProvide hands-on technical leadership and mentorship in data modeling, ETL design, cloud data patterns, and secure accessEnsure data security, privacy, and compliance by design in partnership with security and risk teamsExercise broad technical autonomy to balance architecture with governance and delivery needs Key requirements15+ years in IT with deep experience in data architecture and enterprise data platform design, preferably in financial services or fintechExpertise in enterprise data architecture for transactional and analytical platforms with governance and complianceStrong data engineering background across ingestion, transformation, storage, and access; able to contribute to PoCsExtensive experience with Oracle databases and data modeling for operational systemsProven experience designing Azure-based data warehouse solutions with performance, cost, and analytics integration focusHands-on experience with ETL/integration tools, notably Informatica; understanding of batch and near-real-time data movementExperience defining and governing data access methods, including server-based patterns (e.g., MCP)Ability to align data architecture with business strategy and collaborate with product, analytics, risk, and leadershipStrategic mindset with strong execution skills; capable of balancing long-term vision and near-term deliveryStrong leadership, influence, and communication skills with ability to present to executivesExperience with distributed systems, SOA, event-driven patterns, and data-driven microservicesSolid understanding of data security, privacy, and regulatory complianceInnovation-focused mindset with passion for learning and adopting new cloud data patternsleadershipcommunicationinfluenceOracle databasesAzure-based data warehousesETL and data integration (Informatica)