Hybrid Mode - Multiple locations - Product Architect (.Net/Java, Architecture Design patterns, Kafka/ASB, Azure/AWS, Data Governance) - Direct Client - Immediate Interviews

One of my direct client, a multinational company, is looking for a Product Architect .

Hybrid mode - onsite 1 to 2 times a quarter - Multiple states to choose from

Mandatory skills - .Net/Java, Architecture Design patterns and Trade off analysis, Architectural documentation and communication, Kafka/ASB etc, Financial or Healthcare or Pharma domain, Azure/AWS, Data Governance

Duration - 12+ months, long term, CTH

Rate - DOE

Client details will be shared post technical call

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 — while embedding AI capabilities safely into data quality and workflow automation.

This is a domain ownership role with real accountability. Your designs and contracts will be adopted across teams. Success is measured by your ability to handle large-scale financial data, ensure accuracy and auditability, enable reliable downstream adoption without breaking changes, and govern AI-assisted workflows with the rigor that financial systems demand.

What You Will Do

Product Architecture Ownership

Own product-level architecture for financial systems — 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 and live observability dashboards

Design API-first and event-driven architectures enabling scalable, reliable consumption across downstream systems

Establish data governance, auditability, and traceability standards across all 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 supporting compliance-heavy processes — audit trails, regulatory reporting, and reconciliation

Define where business logic, enrichment, and validation reside — pipeline versus service layer — with 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, well-documented technical designs

Document all architectural decisions via ADRs and maintain traceability across systems

Outcomes & Measures

Scalable architecture supporting high-volume financial data and complex workflows delivered and adopted across teams

Measurable improvements in data accuracy, processing reliability, and system performance

Domain models and contracts adopted by multiple downstream systems without breaking changes

AI-assisted workflows operational with measurable accuracy, human-approved safety gates, and audit-ready outputs

Robust audit, reconciliation, and recovery mechanisms in place with live observability dashboards

Required Qualifications

13+ 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 with backward compatibility

Experience with governance, auditability, and regulatory considerations in system design

Strong understanding of NFRs — correctness, reliability, scalability, and observability — with measurable acceptance criteria

Ability to translate …