Senior Technical Lead, Enterprise Risk Architecture – McLean, VA

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

1. Do you have at least 10 years of hands-on software engineering experience?

2. Do you have 8 or more years of experience in solution architecture or technical leadership?

3. Have you designed enterprise-scale cloud-native architectures using AWS, Azure, or GCP?

4. Do you have experience with Kubernetes, Kafka, Java, Python, and modern distributed systems?

5. Have you designed microservices, APIs, integration patterns, and cloud-native enterprise platforms?

6. Do you have experience implementing or architecting Generative AI or AI-enabled solutions?

7. Have you worked within highly regulated industries such as financial services, banking, mortgage, or healthcare?

8. Have you led enterprise transformation or modernization initiatives?

9. Do you hold any cloud architecture certifications (AWS Solutions Architect Professional or equivalent)?

10. 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.

Cloud Data Architect | AWS & Snowflake | Ridgefield, CT (Hybrid) | $170K–$210K

☁️ Cloud Data Architect

Before reading further, here are three non-negotiables that the client has made absolutely clear:

This is a Direct Hire (W2) permanent position. No C2C, no 1099, no third parties.

Candidates must NOT require sponsorship now or in the future. We can only consider US Citizens or Green Card holders who can work long-term without restriction.

The role is Hybrid — non-negotiable. You must be onsite 2–3 days per week in Ridgefield, CT, so candidates must already live within commuting distance or be willing to relocate.
(The good news: the company offers excellent benefits and is open to relocation support or a sign-on bonus for the right hire.)

📍 Location: Ridgefield, Connecticut (Hybrid – 2–3 days onsite per week)
🏢 Industry: Pharmaceutical / Biotech / Information Technology
🎓 Education: Bachelor’s degree in Computer Science, Information Technology, or related field (or 10+ years equivalent IT experience)
💼 Experience Level: Mid–Senior (7–10 years)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for ideal candidate
💰 Compensation: $170,000 – $210,000 base salary + benefits + potential performance bonus
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Join a global leader in life sciences as a Cloud Data Architect, driving innovation and digital transformation within the Enterprise Data, AI & Platforms organization.

In this role, you’ll design and implement scalable, secure, and intelligent cloud-based data architectures that power analytics, AI, and digital products across the business. You’ll partner with data leaders, business stakeholders, and cross-functional technology teams to shape how data is collected, managed, and transformed into actionable insights.

If you’re passionate about modern data ecosystems, cloud architecture, and leveraging AI-driven solutions to impact patient outcomes — this is an opportunity to make a global difference.

🧭 Key Responsibilities

• Design and implement efficient, scalable cloud-based data architectures that align with business and technology goals.

• Develop and optimize data models, schemas, and database designs supporting structured and unstructured data.

• Collaborate with business stakeholders, data domain owners, and data scientists to define data requirements and implement robust solutions.

• Lead data modernization projects and support cloud migration strategies using AWS technologies.

• Partner with governance teams to establish and maintain data policies, access frameworks, and sharing standards.

• Enhance data pipelines for ingestion, transformation, and integration of diverse datasets across domains.

• Provide technical leadership and mentorship to data engineering and development teams.

• Stay ahead of emerging data technologies, AI/ML innovations, and architectural best practices to drive continuous improvement.

🧠 Core Qualifications

✅ 7+ years in data management and architecture, including experience as a Data Architect.
✅ 5+ years hands-on experience with cloud platforms (AWS required) and enterprise data solutions.
✅ Proven track record leading cloud modernization or data transformation projects.
✅ Strong experience with AWS components (S3, Glue, Lambda), Snowflake, Apache Parquet, and SQL/NoSQL databases.
✅ Proficiency with ETL tools such as dbt, SnapLogic, and middleware integrations.
✅ Expertise in data modeling, data pipeline optimization, and semantic data structures.
✅ Experience developing Knowledge Graphs and semantic data models using ontologies and taxonomies.
✅ Understanding of AI/ML data pipelines, including use cases in NLP, recommendation engines, and predictive analytics.
✅ Deep knowledge of data governance, quality, and lifecycle management.
✅ Excellent communication and collaboration skills to effectively engage technical and business teams.

💡 Preferred Skills & Certifications

⭐ AWS Solutions Architect certification (Associate or Professional).
⭐ Familiarity with Innovator or similar enterprise architecture tools.
⭐ Experience within pharmaceutical or biotech industries — particularly in commercial data domains or GxP environments.
⭐ Strong analytical and problem-solving mindset, with the ability to defend and present technical design decisions.
⭐ Exposure to Agile/Scrum delivery models and distributed global teams.

💰 Compensation & Benefits

💵 Base Salary: $170,000 – $210,000 (commensurate with experience)
🎯 Bonus: Role-specific or performance-based
💎 Benefits Include:

• Comprehensive medical, dental, and vision coverage

• Paid time off, holidays, and flexible hybrid schedule

• 401(k) retirement plan with company match

• Wellness, family support, and professional development programs

• Global collaboration and mobility opportunities

🧩 Candidate Snapshot

• Experience: 7–10 years in data architecture and cloud systems

• Specialization: AWS Cloud | Data Modeling | ETL | Data Pipeline Design | Data Governance

• Certifications: AWS Solutions Architect (preferred)

• Seniority: Mid–Senior

• Work Arrangement: 2–3 days onsite in Ridgefield, CT

• Travel: Occasional

🌍 Why This Role Matters

This position sits at the heart of the company’s global data strategy — shaping how data is collected, structured, and leveraged to accelerate drug discovery, digital medicine, and patient outcomes. You’ll be part of a collaborative, innovation-driven environment where your work has a tangible impact on global healthcare advancements.

🚀 Ready to architect the future of cloud data innovation?
Join a team that’s transforming how data powers scientific breakthroughs and smarter decision-making — for patients, healthcare providers, and communities worldwide.