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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # TELECOMMUTE Product Architect -Data Driven Workflows_Remote - **Company:** Accion - **Location:** United States (Remote available) - **Experience:** Experienced - **Contract:** Temporary to permanent - **Skills:** .NET Framework, Microsoft Excel, Application Programming Interfaces (APIs), Artificial Intelligence, Algorithmic Trading, Applications Architecture, Business Logic, Audit Trail, Microsoft Azure, Big Data, C Sharp (Programming Language), Software as a Service, Cloud Computing, Continuous Integration, Data Governance, Data Integrity, Data Mapping, Data Stores, Software Design Patterns, Distributed Systems, Github, Python (Programming Language), Log Analysis, SAP (Applications), Service Layer, Software Engineering, Systems Integration, TypeScript, Workflow Management Systems, Transaction Processing (Computing), Data Processing, Multi-Agent Systems, Event Driven Architecture, Bicep, Apache Kafka, Virtual Agents, Api Design, Terraform, Key Vault, Confluent - **Published:** August 7, 2026 - **Apply:** https://www.dice.com/job-detail/1359ae07-ab7f-47ed-9f9d-014ab7d52065 ## About the Role * 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 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 ambiguity into clear, buildable, well-documented architecture Preferred Qualifications * Domain experience in payments, banking, trading systems, billing, licensing, entitlements, or financial platforms * Kafka / Confluent - schema governance, consumer patterns, replay strategies, and event streaming at scale * Experience integrating ERP or financial systems (SAP or equivalent) into downstream SaaS provisioning or reporting flows * Experience applying AI/ML for anomaly detection or data quality in controlled, auditable, human-approved loops * Cloud experience (Azure preferred) - AKS, storage, networking, monitoring - with distributed system design * Familiarity with Microsoft Foundry Agent Service / MAF or equivalent AI orchestration tooling Core Competencies * Systems thinking - design scalable, resilient architectures for complex financial workflows under real constraints * Data integrity focus - correctness, auditability, and compliance-first mindset at every design decision * AI pragmatism - evaluation loops, safety gates, and human approval as non-negotiable design requirements; not the assumption that the model gets it right * Strong communication - equally effective with technical engineering teams and non-technical business stakeholders * Pragmatic architecture - balance scalability, governance, and delivery speed without sacrificing financial data accuracy * Design Patterns ## Description 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 AI-Assisted Data Quality & Workflows * Apply AI capabilities safely for data mapping, normalisation, and anomaly detection - scoped as decision-support with human approval, never as autonomous mutation of financial data * Design 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 * Design evaluation and safety gates for all AI-assisted flows to ensure outputs are auditable, correctable, and compliant with financial governance standards * Build rapid spikes and POCs to de-risk agent workflows, retrieval and evidence patterns, and performance assumptions; document all architectural decisions via ADRs 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, * Languages: C# / .NET (primary); Python / TypeScript (POCs and evaluation harnesses) * Cloud: Azure - AKS, Key Vault, Blob/ADLS, App Gateway, Monitor/Log Analytics * CI/CD: Azure DevOps or GitHub Actions; Bicep / Terraform * Eventing: Kafka / Confluent - schema governance and contract testing * Diagrams & Docs: Mermaid + C4; ADRs in /docs/adr * Data Stores: Relational and distributed systems supporting large-scale financial data * AI Orchestration: Foundry Agent Service / MAF or equivalent where appropriate ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Innovating Developer Tools with AI: Insights from GitHub Next](https://www.wearedevelopers.com/videos/1268-innovating-developer-tools-with-ai-insights-from-github-next) - [Back(end) to the Future: Embracing the continuous Evolution of Infrastructure and Code](https://www.wearedevelopers.com/videos/440-back-end-to-the-future-embracing-the-continuous-evolution-of-infrastructure-and-code) - [Agentic employees in world's most downloaded FinTech app](https://www.wearedevelopers.com/videos/100123-agentic-employees-in-world-s-most-downloaded-fintech-app) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Bringing AI Model Testing and Prompt Management to Your Codebase with GitHub Models](https://www.wearedevelopers.com/videos/1536-bringing-ai-model-testing-and-prompt-management-to-your-codebase-with-github-models) ## Related Articles - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Fully Remote Software Engineer Jobs](https://www.wearedevelopers.com/magazine/447-fully-remote-software-engineer-jobs) - [Why Event-Driven Architecture Isn’t About Speed (and When You Actually Need It)](https://www.wearedevelopers.com/magazine/745-why-event-driven-architecture-isn-t-about-speed-and-when-you-actually-need-it) - [Best Paying Remote Jobs](https://www.wearedevelopers.com/magazine/255-best-paying-remote-jobs) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers)