Enterprise Data Platforms

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.

 

Principal, Platform Engineering – Databases – Atlanta, GA (Hybrid)

Principal, Platform Engineering – Databases

📍 Location: Atlanta, GA (Hybrid – 3 Days Onsite / 2 Days Remote)
🏢 Industry: Information Technology / Enterprise Platforms
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: None
💰 Compensation: $144,000 – $210,000 Base Salary

Overview

A global enterprise is seeking a Principal, Platform Engineering – Databases to serve as the technical authority responsible for enterprise database architecture, strategy, standards, and platform engineering initiatives.

This role will lead the design, implementation, optimization, and governance of complex database environments while providing technical leadership across engineering teams. The successful candidate will act as the organization's database subject matter expert, driving platform reliability, scalability, security, and modernization efforts across a highly complex global environment.

This is a hands-on technical leadership position rather than a people-management role.

Key Responsibilities

Database Strategy & Leadership

  • Define enterprise database standards, governance, and best practices.

  • Develop long-term database technology roadmaps.

  • Evaluate emerging database technologies and modernization opportunities.

  • Serve as the primary database subject matter expert across the organization.

  • Mentor engineers and provide technical leadership across platform teams.

Database Architecture & Design

  • Design conceptual, logical, and physical data models.

  • Architect scalable enterprise database solutions.

  • Design, implement, and maintain complex relational database systems.

  • Ensure database environments meet performance, security, and scalability requirements.

  • Lead database architecture reviews and strategic design decisions.

Platform Engineering

  • Design and develop enterprise platform solutions supporting critical business applications.

  • Improve database deployment, automation, and operational processes.

  • Drive continuous improvement initiatives across database engineering functions.

  • Support CI/CD and platform modernization initiatives.

Performance, Reliability & Support

  • Lead troubleshooting of highly complex database and platform issues.

  • Ensure minimal downtime and rapid issue resolution.

  • Develop monitoring, optimization, and performance improvement strategies.

  • Establish documentation standards and operational procedures.

Collaboration & Technical Influence

  • Partner with architects, engineers, product teams, and business stakeholders.

  • Lead technical discussions with both technical and non-technical audiences.

  • Provide strategic guidance on enterprise data and platform initiatives.

Required Qualifications

Experience

✔ 10+ years of database engineering, architecture, or platform engineering experience.

✔ Experience defining:

  • Database standards

  • Technology roadmaps

  • Database governance frameworks

  • Long-term platform strategies

✔ Experience mentoring engineers and providing technical leadership.

Technical Expertise

Oracle Database

  • Expert-level Oracle Database administration and architecture.

  • Advanced SQL expertise.

  • Database performance tuning and optimization.

  • Database security and scalability.

Data Architecture

  • Conceptual data modeling.

  • Logical data modeling.

  • Physical data modeling.

  • Enterprise database design principles.

Platform Engineering

  • Complex relational database systems.

  • Enterprise-scale environments.

  • Documentation and operational standards.

  • Continuous improvement initiatives.

Must-Have Skills

Database Technologies

  • Oracle Database

  • SQL

  • Relational Database Design

  • Database Architecture

  • Data Modeling

Leadership & Strategy

  • Technology Roadmaps

  • Database Governance

  • Technical Mentorship

  • Enterprise Standards Development

  • Continuous Improvement

Engineering

  • Performance Optimization

  • Scalability Planning

  • Security Architecture

  • Troubleshooting & Root Cause Analysis

Screening Questions

  1. Have you defined enterprise database standards, technology roadmaps, and long-term database strategies?

  2. Do you have professional experience creating conceptual, logical, and physical data models for enterprise systems?

  3. Have you designed, implemented, and managed complex relational database environments focused on performance, scalability, and security?

  4. Do you possess expert-level Oracle Database and SQL expertise?

  5. Do you have experience designing, maintaining, and modernizing enterprise database architectures?

  6. Are you legally authorized to work in the United States without requiring current or future visa sponsorship?

Ideal Candidate Profile

The ideal candidate will be a highly technical database architect who:

  • Serves as the go-to expert for Oracle database technologies.

  • Has led database strategy and governance initiatives within large global enterprises.

  • Possesses deep expertise in enterprise database architecture and relational data modeling.

  • Can influence both technical and business stakeholders.

  • Enjoys mentoring engineers and raising technical standards across teams.

  • Has experience operating within highly complex, mission-critical environments.

  • Drives modernization, automation, and continuous improvement initiatives.

Candidate Snapshot

Requirement

Details

Experience

10+ Years Database Engineering / Architecture

Database Expertise

Oracle DB & SQL (Expert Level)

Architecture

Conceptual, Logical & Physical Data Modeling

Leadership

Technical Leadership & Mentorship

Industry

Enterprise IT / Platform Engineering

Location

Atlanta, GA (Hybrid)

Compensation

$144K – $210K

Visa Sponsorship

Not Available

Relocation

Not Available

What Makes Someone Successful in This Role?

  • Deep Oracle database expertise.

  • Strong enterprise architecture and data modeling skills.

  • Ability to define standards and long-term technology direction.

  • Proven success leading complex database modernization efforts.

  • Strong communication skills with both business and technical stakeholders.

  • Passion for mentoring engineers and improving engineering practices.

  • Ability to balance strategic thinking with hands-on technical execution.

 

Data Engineer | Azure, Databricks, Python, SQL, Spark | Hybrid – Netherlands (€3,500–€5,000/month)

Data Engineer

📍 Location: Eindhoven area or Randstad, Netherlands (Hybrid – 3 office days / 2 home days)
💼 Employment Type: Full-time
💵 Salary: €3,500 – €5,000 per month (€45,360 – €64,800 annually)
🎯 Experience Level: Mid-level | 2–3 years’ experience

About the Role

Do you love working with data — from digging into sources and writing clean ingestion scripts to ensuring a seamless flow into a data lake? As a Data Engineer, you’ll design and optimize data pipelines that transform raw information into reliable, high-quality datasets for enterprise clients.

You’ll work with state-of-the-art technologies in the cloud (Azure, Databricks, Fabric) to build solutions that deliver business-critical value. In this role, data quality, stability, and monitoring are key — because the pipelines you create will be used in production environments.

Key Responsibilities

  • Develop data connectors and processing solutions using Python, SQL, and Spark.

  • Define validation tests within pipelines to guarantee data integrity.

  • Implement monitoring and alerting systems for early issue detection.

  • Take the lead in troubleshooting incidents to minimize user impact.

  • Collaborate with end users to validate and continuously improve solutions.

  • Work within an agile DevOps team to build, deploy, and optimize pipelines.

Requirements

  • 🎓 Bachelor’s or Master’s degree in Computer Science, Data Engineering, or related field.

  • 2–3 years of relevant experience in data ingestion and processing.

  • Strong knowledge of SQL, Python, and Spark.

  • Familiarity with container environments (e.g., Kubernetes).

  • Experience with Azure Data Factory, Databricks, or Fabric is a strong plus.

  • Experience with data model management and dashboarding (e.g., PowerBI) preferred.

  • Team player with strong communication skills in Dutch and English.

  • Familiarity with enterprise data platforms and data lakes is ideal.

What We Offer

  • 💶 Salary: €3,500 – €5,000 per month

  • 🌴 26 vacation days

  • 🚗 Lease car or mobility budget (€600)

  • 💻 Laptop & mobile phone

  • 💸 €115 monthly cost allowance

  • 🏦 50% employer contribution for health insurance

  • 📈 60% employer contribution for pension scheme

  • 🎯 Performance-based bonus

  • 📚 Training via in-house Academy (hard & soft skills)

  • 🏋️ Free use of on-site gym

  • 🌍 Hybrid work model (3 days in office, 2 days at home)

  • 🤝 Start with a 12-month contract, with option to move to indefinite after evaluation

Ideal Candidate

You are a hands-on data engineer who enjoys data wrangling and building robust pipelines. You take pride in seeing your code run smoothly in production and know how to troubleshoot quickly when issues arise. With strong technical skills in SQL, Python, and Spark, plus familiarity with cloud platforms like Azure, you’re ready to contribute to impactful enterprise projects.

👉 Ready to make data flow seamlessly and create business value? Apply now to join a passionate, innovation-driven team.

 

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