Senior Product Solutions Architect

About the Role

We are seeking a visionary Principal Product Solutions Architect to lead the technical design, configuration patterns, and system orchestration for our next-generation Enterprise Financial Close, Reconciliation, and Anomaly Detection product.

Our product is built on top of an advanced, internal, metadata-driven low-code platform featuring a highly interactive, spreadsheet like user interface. This is a specialized product application and data modeling architecture role.

Your core mandate is to translate intricate financial compliance logic into a scalable, high-performance product application layer, utilizing an internal engine that abstracts out transformations to natively run on Datalakes. You will architect the application patterns that enable a fast-moving engineering organization of a large team of developers to build concurrently while scaling to process hundreds of millions of transaction rows for global Fortune 500 enterprises.

Not Required: Infrastructure, CI/CD, DevOps, security/authentication, raw ERP data ingestion pipelines, and the standalone machine learning engines are completely managed by dedicated horizontal engineering teams.

Key Responsibilities

• Metadata-Driven Application Design: Architect the semantic data layer, defining how standard and complex custom objects interact within an enterprise-wide low-code data catalog. Ensure flexible configurations seamlessly support varied multinational financial structures out of the box.
• Performance Engineering: Own the approaches to best column-level transformation formulas. Ensure that complex data reconciliation mappings defined by users in an abstract UI adhere to highly efficient, parallelized, and cost-effective Snowflake SQL paths that avoid performance degradation or runaway cloud compute expenses during the critical month-end close window.
• Cross-Team Technical Orchestration: Act as the primary technical ambassador and contract negotiator for the product unit. Collaborate directly with adjacent engineering teams to define robust, production-grade API contracts for ERP Data Ingestion, UI Widgets, and the AI/Rules anomaly detection engine.
• Configuration Governance at Scale: Establish software development lifecycle (SDLC) best practices tailored for a low-code metadata environment. Define patterns for version control, component modularity, testing, and dependency management to enable a large engineering organization to build simultaneously without conflict or regressions.
• Technical Domain Liaison: Work closely with a team of Product Managers to dissect sophisticated accounting workflows (such as intercompany reconciliations and ledger-to-subledger matching) and translate them into robust, reproducible platform configurations.

What We Are Looking For (Requirements)

• Platform-Native Architectural Experience: A proven track record of designing large-scale, metadata-driven systems. Deep familiarity with expanding or building heavy business applications on top of highly structured platforms (e.g., Salesforce Lightning/Apex, ServiceNow, Guidewire, SAP NetWeaver, or highly complex internal PaaS frameworks).
• Expertise in Domain-Driven Design (DDD): Superior capability to transform fluid business logic and accounting rules into immutable, structured entity relationships and declarative constraints.
• Systems Orchestration Mindset: Exceptional capacity to design complex application state workflows, cross-system dependency mappings, and cleanly isolated service contracts without managing raw infrastructure.
• Outstanding Technical Communication: A proven history of writing clear, comprehensive RFCs and technical documentation, with the executive presence to negotiate architectural priorities across multi-functional core platform teams.

What You Will NOT Need to Do

Because we have dedicated underlying infrastructure and core engine teams, your background does not need to emphasize:

• Core cloud-native infrastructure administration (Kubernetes, Docker, Service Meshes, Terraform).
• Low-level systems programming or building Java/Go microservices from scratch.
• Writing raw Machine Learning training loops or building native ETL ingestion adapters.

Preferred Qualifications

• Prior experience working in the financial technology space (Corporate Accounting, Auditing, Fintech SaaS, or ERP customizations).
• Experience designing software that complies with strict enterprise audit requirements (SOX compliance, data lineage, SOC 2).