Principal Architect, Financial Intelligence Platforms

Principal Architect, Financial Intelligence Platforms

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Principal Architect, Financial Intelligence Platforms

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Introduction
We are seeking an accomplished Principal Application Architect to serve as a strategic technical leader, shaping the future of our cloud-native SaaS applications, enterprise data platform, and AI capabilities. This role will play a pivotal part in bringing together Apptio, Cloudability, and Targetprocess into a unified portfolio of applications that delivers actionable financial intelligence to customers. The architect will drive large-scale architectural decisions, optimize our cloud data platforms, and embed AI/ML-powered capabilities into enterprise-grade solutions.

Introduction
We are seeking an accomplished Principal Application Architect to serve as a strategic technical leader, shaping the future of our cloud-native SaaS applications, enterprise data platform, and AI capabilities. This role will play a pivotal part in bringing together Apptio, Cloudability, and Targetprocess into a unified portfolio of applications that delivers actionable financial intelligence to customers. The architect will drive large-scale architectural decisions, optimize our cloud data platforms, and embed AI/ML-powered capabilities into enterprise-grade solutions.
This is a senior, high-impact role requiring deep expertise in architecting mission-critical SaaS systems, governing cross-product integrations, and building next-generation financial intelligence platforms. You will influence executives and product leaders, mentor senior engineers, and ensure our solutions are scalable, secure, cost-efficient, and future-ready.
Key Responsibilities
Your role and responsibilities
Strategic Portfolio Integration & Leadership

• Architect, deliver and govern a unified financial intelligence platform for integrating Apptio, Cloudability, and Targetprocess.
• Define and govern enterprise-wide architecture frameworks for multi-tenant SaaS, data platforms, and AI-enabled capabilities.
• Align technology decisions with business objectives, influencing executives, product leadership, and engineering stakeholders.
  

Data Platform & AI/ML Enablement

• Architect a common data layer to unify financial and operational data across the portfolio, standardizing services, APIs, and governance.
• Design and scale Snowflake-based data environments for large-scale analytics, AI/ML, and LLM workloads.
• Define and drive implementation of differentiated AI-driven features such as natural language financial insights, anomaly detection, and automated data mapping.
• Partner with data science teams to productize AI models using MLOps best practices.
• Leverage cloud-native AI services (including IBM AI and LLM models) to deliver intelligent platform capabilities.
  

Application & Platform Modernization

• Evolve legacy and monolithic systems into microservices-based, API-first, and AI-enabled architectures.
• Drive strategies for high-volume, low-latency financial workloads while optimizing for cost efficiency.
• Implement architecture, tooling, and automation to accelerate development speed, improve operational agility, and reduce manual overhead.
  

Security, Compliance & Trust

• Champion secure-by-design architectures with tenant isolation, encryption, data privacy controls, and compliance with GDPR, HIPAA, SOC 2, and other regulatory frameworks.
• Ensure financial intelligence solutions meet the highest standards of auditability, reliability, and trust.
  

Mentorship & Innovation

• Coach principal engineers and architects, raising AI, SaaS, and data platform expertise across the organization.
• Evaluate and integrate emerging SaaS, AI, LLM, and financial intelligence technologies to maintain competitive advantage.
  

Preferred Education
Master's Degree
Qualifications
Required technical and professional expertise
Experience

• 12+ years in software architecture and enterprise application development.
• 5+ years as a principal, lead, or staff-level architect delivering multi-tenant SaaS on AWS, Azure, or GCP.
• Proven experience architecting portfolio-level integrations across multiple SaaS products.
• Large-scale Snowflake architecture, governance, and cost-optimization expertise.
• Track record of designing, deploying, and scaling AI/ML-powered features in production.
• Hands-on experience with AI/ML frameworks, LLM integration, prompt engineering, MLOps tooling, and cloud AI services.
  

Technical Skills

• Deep understanding of Snowflake internals and advanced SQL performance tuning.
• Strong grasp of SaaS architecture patterns (tenant isolation, metering/billing, API security).
• Proficiency in Infrastructure-as-Code (Terraform, Pulumi) for provisioning SaaS and AI/data environments.
  

Preferred Technical And Professional Experience
Hiring manager and Recruiter should collaborate to create the relevant verbiage.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Design, Art/Creative, and Information Technology

• Industries

  IT Services and IT Consulting

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