Senior Technical Lead, Architecture – Enterprise Risk Delivery
📍 Location: McLean, VA
🏢 Work Arrangement: Primarily Onsite (Up to 6 Remote Weeks Per Year with Manager Approval)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Available for Exceptional Candidates
💰 Compensation: $210,000 – $230,000 Base Salary + Annual Bonus
Overview
A leading financial services organization is seeking a Senior Technical Lead, Architecture – Enterprise Risk Delivery to provide architectural leadership across a portfolio of enterprise risk technology initiatives.
This Director-level individual contributor role is responsible for designing and governing enterprise-scale technology solutions supporting Financial Risk, Non-Financial Risk, Financial Crimes, and Compliance functions. The successful candidate will lead solution architecture across complex business domains while partnering closely with engineering, data, product, security, and business stakeholders to drive enterprise modernization initiatives, including cloud transformation and GenAI adoption.
Key Responsibilities
Enterprise Solution Architecture
Design enterprise-scale, secure, and scalable solution architectures.
Define architectural blueprints and implementation roadmaps.
Establish architecture standards, design patterns, and best practices.
Ensure long-term scalability, maintainability, and resilience of enterprise platforms.
Technical Leadership
Provide technical leadership across engineering, architecture, and product teams.
Mentor engineering teams and influence technical direction.
Conduct architecture reviews and provide guidance on complex technical decisions.
Balance innovation, delivery speed, and technical debt.
Enterprise Risk Technology
Deliver technology solutions supporting:
Financial Risk
Non-Financial Risk
Financial Crimes
Regulatory Compliance
Enable enterprise data integration and risk analytics.
Support regulatory compliance through modern technology solutions.
Cloud & Modern Engineering
Architect cloud-native enterprise solutions.
Drive modernization initiatives across distributed systems.
Lead API-first, microservices-based architecture strategies.
Support enterprise AI and Generative AI initiatives.
Stakeholder Collaboration
Partner with business leaders to translate requirements into technical solutions.
Collaborate with enterprise architecture, security, data, and engineering organizations.
Influence executive stakeholders through clear technical communication.
Evaluate emerging technologies aligned with strategic business goals.
Required Qualifications
Education
Bachelor's Degree in Computer Science, Engineering, or a related discipline.
Master's Degree preferred.
Experience
✔ 10+ years of software engineering experience.
✔ 8+ years in architecture or senior technical leadership.
✔ 15+ years of overall technology experience preferred.
✔ Experience leading large-scale enterprise architecture initiatives.
✔ Experience within highly regulated industries such as:
Financial Services
Banking
Mortgage
Healthcare
Technical Expertise
Enterprise Architecture
Solution Architecture
Enterprise Architecture
Microservices Architecture
API Design & Integration
Integration Patterns
Micro Frontends
Twelve-Factor Application Design
Cloud Platforms
AWS (Preferred)
Microsoft Azure
Google Cloud Platform (GCP)
Modern Technologies
Kubernetes
Kafka
Java
Python
Angular
DevOps & Engineering
CI/CD
DevOps Practices
Agile Methodologies
Enterprise Platform Engineering
Artificial Intelligence
Generative AI (GenAI)
AI Solution Design
Enterprise AI Integration
Preferred Qualifications
Experience within the mortgage or housing finance industry.
Cloud Architecture certifications (AWS Solutions Architect Professional or equivalent).
Experience leading enterprise digital transformation initiatives.
Background in enterprise data platforms and analytics.
Experience supporting regulatory technology solutions.
Must-Have Skills
Architecture
Enterprise Solution Architecture
Cloud Architecture
Microservices
API Architecture
Enterprise Integration
Cloud & Infrastructure
AWS (Preferred)
Azure or GCP
Kubernetes
Kafka
Development
Java
Python
Angular
Leadership
Technical Leadership
Enterprise Strategy
Executive Communication
Cross-Functional Collaboration
Architecture Governance
Modern Engineering
CI/CD
DevOps
Agile Delivery
AI / GenAI
Screening Questions
Do you have at least 10 years of hands-on software engineering experience?
Do you have 8 or more years of experience in solution architecture or technical leadership?
Have you designed enterprise-scale cloud-native architectures using AWS, Azure, or GCP?
Do you have experience with Kubernetes, Kafka, Java, Python, and modern distributed systems?
Have you designed microservices, APIs, integration patterns, and cloud-native enterprise platforms?
Do you have experience implementing or architecting Generative AI or AI-enabled solutions?
Have you worked within highly regulated industries such as financial services, banking, mortgage, or healthcare?
Have you led enterprise transformation or modernization initiatives?
Do you hold any cloud architecture certifications (AWS Solutions Architect Professional or equivalent)?
Are you comfortable working onsite in McLean, VA with limited remote flexibility?
Ideal Candidate Profile
The ideal candidate will:
Be an experienced enterprise architect with deep technical expertise.
Have successfully led architecture strategy across complex enterprise environments.
Possess extensive cloud architecture experience, particularly with AWS.
Demonstrate expertise in modern software engineering, APIs, and microservices.
Have experience delivering technology within highly regulated industries.
Be comfortable influencing executives and senior business stakeholders.
Mentor engineering teams while remaining hands-on with architectural decision-making.
Drive innovation through cloud modernization, DevOps, and AI technologies.
Candidate Snapshot
Requirement
Details
Experience
15+ Years Overall Technology Experience
Leadership
Director-Level Individual Contributor
Architecture
Enterprise Solution Architecture
Cloud
AWS (Preferred), Azure, GCP
Technologies
Kubernetes, Kafka, Java, Python, Angular
Engineering
Microservices, APIs, DevOps, CI/CD
Industry
Financial Services / Highly Regulated Environment
AI
GenAI & Enterprise AI Solutions
Location
McLean, VA
Work Arrangement
Primarily Onsite (Up to 6 Remote Weeks Per Year)
Compensation
$210K – $230K + Bonus
Relocation
Available for Exceptional Candidates
What Makes Someone Successful in This Role?
Deep expertise in enterprise architecture and cloud-native solution design.
Strong leadership while operating as a hands-on technical contributor.
Ability to translate complex business challenges into scalable technical solutions.
Experience driving enterprise modernization and digital transformation.
Strong understanding of risk, compliance, and secure architecture within regulated industries.
Exceptional communication skills with both executive leadership and engineering teams.
Passion for mentoring engineers, driving innovation, and adopting emerging technologies such as Generative AI.