Product Architect

Product Architect with strong Finance Experience
Direct Client Role:
Exp: 15+ years 
C2C any visa Accepted 

About the Role

This is a hands-on Product Architecture role focused on designing and governing data-intensive financial systems across the product portfolio. You will define domain models, API and event contracts, and scalable workflows that support high-volume transactions, complex financial processes, and strict compliance requirements.
This is a product-level architecture role with real ownership. Your designs and contracts will be adopted across teams. Success is measured by the ability to handle large-scale financial data, ensure accuracy and auditability, and enable reliable downstream adoption without breaking changes.

What You Will Do
Product Architecture Ownership
Own product-level architecture for financial systems — including domain models, system flows, and integration patterns supporting large-scale data and transaction processing
Define NFRs across latency, throughput, correctness, availability, operability, and security — with measurable acceptance criteria
Design API-first and event-driven architectures that enable scalable, reliable consumption across downstream systems
Establish data governance, auditability, and traceability standards across financial workflows
Coach delivery teams on contract design, observability, and data integrity best practices
Financial Systems & Workflow Design
Architect solutions handling high-volume financial data, complex calculations, and multi-step workflows
Design systems that support compliance-heavy processes (e.g., audit trails, regulatory reporting, reconciliation)
Define where business logic, enrichment, and validations should reside (pipeline vs service layer)
Ensure idempotent processing, replayability, and recoverability for financial transactions
Partner with integration teams to design scalable, loosely coupled systems using event-driven patterns
Data Integrity, Governance & Compliance
Design for accuracy, consistency, and auditability of financial data across systems
Implement governance frameworks ensuring compliance with financial regulations and internal controls
Define reconciliation strategies, exception handling, and correction workflows
Establish monitoring and alerting for data quality SLIs
POC Execution & Technical Leadership
Build POCs and technical spikes to validate architecture decisions around data processing, workflows, and integrations
Translate ambiguous financial and business requirements into scalable technical designs
Document architectural decisions via ADRs and ensure traceability across systems
Outcomes & Measures
Scalable architecture supporting high-volume financial data and complex workflows
Measurable improvements in data accuracy, processing reliability, and system performance
Adoption of domain models and contracts across multiple downstream systems
Robust audit, reconciliation, and recovery mechanisms in place
Required Qualifications
8+ years in software engineering with 3+ years in product or application architecture
Strong experience in fintech or financial systems involving large-scale data processing and complex workflows
Hands-on experience designing systems with high data volumes, transactional integrity, and compliance requirements
Proven ability to design data models, APIs, and event-driven systems for cross-team adoption
Experience with governance, auditability, and regulatory considerations in system design
Strong understanding of NFRs: correctness, reliability, scalability, and observability
Ability to translate ambiguity into clear, buildable architecture
Preferred Qualifications
Experience in domains such as payments, banking, trading systems, billing, or financial platforms
Kafka / event streaming experience with schema governance and replay strategies
Experience integrating ERP or financial systems (e.g., SAP or similar)
Exposure to AI/ML for anomaly detection or data quality (with controlled, auditable usage)
Cloud experience (Azure preferred) with distributed system design
Core Competencies
Systems thinking — ability to design scalable, resilient architectures for complex financial workflows
Data integrity focus — correctness, auditability, and compliance-first mindset
Strong communication — able to engage both technical teams and business stakeholders
Pragmatic architecture — balancing scalability, governance, and delivery speed
Tools & Environment
Languages: C# / .NET, Python, or TypeScript
Cloud: Azure (AKS, storage, networking, monitoring)
CI/CD: Azure DevOps or GitHub Actions
Eventing: Kafka / Confluent
Data Stores: Relational and distributed systems supporting large-scale financial data
Interview Process
Architecture deep-dive — prior experience with financial systems, data models, and governance
Practical design exercise — build a scalable workflow handling high-volume financial data with auditability and compliance
Scenario — design reconciliation, audit, and recovery strategies for financial data inconsistencies

Comprehensive benefits package with medical, dental, and vision coverage
A Note on This Role
You will own architecture decisions that directly impact how financial data flows through the platform. This is not a support role — it is a domain ownership role where correctness, scale, and compliance are critical. If you have built systems handling large datasets, complex workflows, and strict governance requirements, this role is built for you.

• Apply AI capabilities safely for data mapping, normalisation, and anomaly detection — scoped as decision-support with human approval, never as autonomous entitlement mutation
• Design evaluation and safety gates for any AI-assisted flows to ensure outputs are auditable and correctable
• AI-assisted import workflows — covering CSV and Excel ingestion, intelligent column mapping, and multi-stage validation — with explicit evaluation criteria and safety gates that make AI assistance trustworthy, not just convenient.
• Build rapid spikes and POCs to de-risk agent workflows, retrieval and evidence patterns, and performance assumptions; document all architectural decisions via ADRs