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.

CTO Co-Founder – Healthcare Payments AI Startup – New York, NY

CTO Co-Founder – Healthcare Payments AI Startup

📍 Location: New York, NY (Onsite)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: Not Available
💰 Compensation: $150,000 Base + 15–20% Equity

Overview

A funded early-stage healthcare AI startup is seeking a hands-on CTO Co-Founder to lead technology strategy, product development, architecture, and engineering execution.

The company is building an AI-powered platform focused on transforming healthcare payments, claims processing, revenue cycle management, and financial workflow automation. This is a true 0-to-1 opportunity for a technical leader who wants to build both the product and the company from the ground up.

Key Responsibilities

Technology & Product Leadership

• Own the technology vision, architecture, and engineering roadmap.

• Build and launch the company’s initial MVP and commercial platform.

• Evaluate and select the technology stack and infrastructure.

• Design secure, scalable systems for healthcare payment and claims workflows.

AI & Workflow Automation

• Build AI-driven workflow automation and operational intelligence capabilities.

• Develop data ingestion, normalization, and decision-support solutions.

• Implement automation for claims, reimbursement, reconciliation, and payment processes.

Engineering Leadership

• Recruit, hire, and lead the founding engineering team.

• Establish development standards, processes, and engineering culture.

• Drive execution from concept through production deployment.

Strategic Collaboration

• Work directly with the CEO, investors, advisors, and early customers.

• Translate customer needs into scalable technical solutions.

• Support fundraising, product strategy, and commercial growth initiatives.

Required Qualifications

Experience

✔ 0-to-1 Product Development Experience

✔ Hands-On Software Engineering & Architecture

✔ AI / ML & Workflow Automation

✔ Engineering Team Leadership

✔ Healthcare Payments, Revenue Cycle, FinTech, or Transaction-Based Systems Experience

✔ 10+ Years of Technical Experience

Education

• Bachelor's Degree in Computer Science, Engineering, or related field.

• Graduate of a top-tier university strongly preferred.

Preferred Backgrounds

• Healthcare Technology

• Revenue Cycle Management (RCM)

• Claims Processing Platforms

• Payments & FinTech

• AI Workflow Automation

• Enterprise SaaS

• Data Infrastructure

• Healthcare Interoperability

Ideal Candidate

The ideal candidate is a builder-first technical leader who has:

• Personally built and launched software products from MVP to production.

• Experience operating in startups or high-growth environments.

• Strong software architecture and coding skills.

• Experience developing AI-powered products or automation platforms.

• Knowledge of healthcare payments, claims, revenue cycle, or other regulated transaction-heavy industries.

• Experience recruiting and leading engineering teams.

• Ability to communicate effectively with customers, executives, and investors.

Healthcare payments experience is highly desirable but candidates from fintech, enterprise workflow automation, or regulated data-intensive industries will also be considered.

Candidate Snapshot

Requirement

Details

Level

CTO / Co-Founder

Experience

10+ Years

Location

New York, NY (Onsite)

Industry

Healthcare AI / FinTech

Education

Bachelor's Degree Required

Equity

15–20%

Relocation

No

Sponsorship

No

Screening Questions

1. Have you personally built and launched a software product from MVP to production?

2. Describe your experience leading 0-to-1 product development initiatives.

3. What AI, machine learning, or workflow automation products have you built?

4. Do you have experience in healthcare payments, revenue cycle management, claims processing, or fintech?

5. Have you recruited and led engineering teams in a startup or high-growth environment?

6. What programming languages, frameworks, and cloud technologies have you used to build scalable products?

7. Are you comfortable being a hands-on contributor while also leading the engineering organization?

8. Are you able to work onsite in New York City?

What Makes Someone Successful in This Role?

• Founder mentality and bias toward action.

• Strong technical depth with hands-on coding capability.

• Experience building products in regulated, transaction-heavy environments.

• Ability to move quickly from concept to commercial product.

• Strong communication skills with both technical and non-technical stakeholders.

• Passion for using AI to solve complex operational challenges.

• Desire to build and scale a company, not just a technology platform.

Senior Finance Solutions Specialist – Hybrid (Chicago, New York, Boston, Louisville, Phoenix, Urbandale or London)

Senior Finance Solutions Specialist

📍 Locations: Chicago, IL | New York, NY | Boston, MA | Louisville, KY | Phoenix, AZ | Urbandale, IA | London, UK
🏠 Work Arrangement: Hybrid (3 Days Office / 2 Days Remote)
💼 Employment Type: Full-Time
🚫 Visa Sponsorship: Not Available
🚚 Relocation Assistance: No
💰 Compensation: $131,000 – $200,000

Overview

A global professional services organization is seeking a Senior Finance Solutions Specialist to serve as the techno-functional lead for enterprise finance systems, helping drive the evolution, integration, and optimization of cloud-based ERP and Professional Services Automation (PSA) platforms.

This role is ideal for someone who can bridge the gap between finance, technology, and business stakeholders—combining deep functional knowledge of financial processes with strong technical and solution architecture capabilities.

Key Responsibilities

Finance Systems & Solution Design

• Partner with Finance, Business, and Technology teams to gather requirements and define solutions.

• Translate business needs into user stories, functional requirements, and acceptance criteria.

• Design end-to-end ERP and PSA solutions.

• Conduct fit-gap analysis and provide recommendations on functionality, risks, and implementation approaches.

ERP & PSA Administration

• Serve as the subject matter expert for finance applications.

• Manage system enhancements, configuration, optimization, and troubleshooting.

• Support financial processes including:

• Revenue Recognition

• Billing & Invoicing

• Time Entry

• Work-in-Progress (WIP)

• Backlog Reporting

• Month-End Close

Integration & Technical Leadership

• Define integration architecture and data flows.

• Support API and system integrations.

• Guide development teams and troubleshoot complex issues.

• Ensure solution quality and scalability.

Stakeholder Management

• Act as liaison between business users and technical teams.

• Lead User Acceptance Testing (UAT) and change management initiatives.

• Deliver training, documentation, and ongoing support.

• Communicate effectively with both technical teams and senior leadership.

Required Qualifications

Education

• Bachelor's Degree in:

• Computer Science

• Information Systems

• Related Technical Field

Experience

• 5+ years of ERP, finance systems, or finance technology experience.

• Strong enterprise finance and accounting process knowledge.

• Experience delivering solutions in Agile (Scrum/SAFe) environments.

• Experience working directly with business leaders and senior stakeholders.

Required Functional Expertise

✔ Revenue Recognition

✔ Billing & Invoicing

✔ Work-in-Progress (WIP)

✔ Backlog Reporting

✔ Month-End Close

✔ Enterprise Finance / ERP Systems

✔ Business Process Analysis

✔ Solution Design

Strongly Preferred

Certinia (formerly FinancialForce)

• 3–4+ years supporting:

• Certinia ERP

• Certinia PSA

• Project Accounting

• Resource Management

• Financial Management

• Time & Expense

• Billing

• Multi-Currency Environments

• Project Economics

Note: Certinia is highly desired but not mandatory.

Candidates with strong experience in:

• Salesforce Platform

• ERP Implementations

• Financial Systems

• Revenue Recognition

• Billing Solutions

• Finance Transformation

will also be considered.

Technical Skills

✔ Salesforce Platform

✔ Enterprise ERP Systems

✔ Certinia / FinancialForce (Preferred)

✔ Jira

✔ ServiceNow

✔ Azure DevOps

✔ API & Data Integrations

✔ Agile Delivery Methodologies

✔ Solution Architecture

✔ UAT & Change Management

Ideal Candidate

The ideal candidate is a highly technical, hands-on finance systems expert who can both solve complex system problems and communicate effectively with executive stakeholders.

They will possess:

• Strong finance ERP implementation experience.

• Deep understanding of accounting processes and revenue recognition.

• Ability to work independently and "get into the weeds" technically.

• Strong troubleshooting and analytical skills.

• Ability to explain technical concepts in business language.

• Experience leading discussions with Finance leadership and C-suite stakeholders.

• Strong techno-functional consulting background.

Candidate Profile

Requirement

Details

Experience

5+ Years

Seniority

Mid-Senior

Education

Bachelor's Degree

Work Arrangement

Hybrid

ERP Experience

Required

Revenue Recognition

Required

Billing & WIP

Required

Certinia

Strongly Preferred

Salesforce

Preferred

Sponsorship

Not Available

Screening Questions

1. What ERP or finance systems have you implemented or supported?

2. Describe your experience with revenue recognition, billing, WIP, and backlog reporting.

3. Have you worked with Certinia (FinancialForce) ERP or PSA solutions?

4. What role have you played in finance system implementations or transformations?

5. Have you worked directly with senior business stakeholders or executives?

6. What Agile methodologies and delivery tools have you used (Jira, ServiceNow, Azure DevOps, etc.)?

7. Can you describe a complex finance systems issue you personally diagnosed and resolved?

What Makes Someone Successful in This Role?

• Strong blend of technical and functional finance expertise.

• Ability to lead discussions with both developers and executives.

• Deep understanding of ERP systems and accounting processes.

• Hands-on problem solver, not purely a project manager.

• Comfortable designing solutions, troubleshooting issues, and driving adoption.

• Able to translate business requirements into scalable technology solutions.

Data Engineer | AWS, Python & Snowflake | Ridgefield, CT (Hybrid) | $140K–$185K

🧠 Data Engineer

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)
💼 Openings: 2
🏢 Industry: Information Technology / Life Sciences
🎓 Education: Bachelor’s degree in Computer Science, MIS, or related field (Master’s preferred)
🚫 Visa Sponsorship: Not available
🚚 Relocation: Available for the ideal candidate
💰 Compensation: $140,000 – $185,000 base salary + full benefits
🕓 Employment Type: Full-Time | Permanent

🌟 The Opportunity

Step into the future with a global leader in healthcare innovation — where Data and AI drive transformation and impact millions of lives.

As part of the Enterprise Data, AI & Platforms (EDP) team, you’ll join a high-performing group that’s building scalable, cloud-based data ecosystems and shaping the company’s data-driven future.

This role is ideal for a hands-on Data Engineer who thrives on designing, optimizing, and maintaining robust data pipelines in the cloud, while collaborating closely with architects, scientists, and business stakeholders across the enterprise.

🧭 Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines and integration frameworks to enable advanced analytics and AI use cases.

• Collaborate with data architects, modelers, and data scientists to evolve the company’s cloud-based data architecture strategy (data lakes, warehouses, streaming analytics).

• Optimize and manage data storage solutions (e.g., S3, Snowflake, Redshift), ensuring data quality, integrity, and security.

• Implement data validation, monitoring, and troubleshooting processes to ensure high system reliability.

• Work cross-functionally with IT and business teams to understand data requirements and translate them into scalable solutions.

• Document architecture, workflows, and best practices to support transparency and continuous improvement.

• Stay current with emerging data engineering technologies, tools, and methodologies, contributing to innovation across the organization.

🧠 Core Requirements

Technical Skills

✅ Hands-on experience with AWS data services such as Glue, Lambda, Athena, Step Functions, and Lake Formation.
✅ Strong proficiency in Python and SQL for data manipulation and pipeline development.
✅ Experience in data warehousing and modeling (dimensional modeling, Kimball methodology).
✅ Familiarity with DevOps and CI/CD practices for data solutions.
✅ Experience integrating data between applications, data warehouses, and data lakes.
✅ Understanding of data governance, metadata management, and data quality principles.

Cloud & Platform Experience

• Expertise in AWS, Azure, or Google Cloud Platform (GCP) – AWS preferred.

• Knowledge of ETL/ELT tools such as Apache Airflow, dbt, Azure Data Factory, or AWS Glue.

• Experience with Snowflake, PostgreSQL, MongoDB, or other modern database systems.

Education & Experience

🎓 Bachelor’s degree in Computer Science, MIS, or related field
💼 5–7 years of professional experience in data engineering or data platform development
⭐ AWS Solutions Architect certification is a plus

🚀 Preferred Skills & Attributes

• Deep knowledge of big data technologies (Spark, Hadoop, Flink) is a strong plus.

• Proven experience troubleshooting and optimizing complex data pipelines.

• Strong problem-solving skills and analytical mindset.

• Excellent communication skills for collaboration across technical and non-technical teams.

• Passion for continuous learning and data innovation.

💰 Compensation & Benefits

💵 Base Salary: $140,000 – $185,000 (commensurate with experience)
🎯 Bonus: Role-based variable incentive
💎 Benefits Include:

• Comprehensive health, dental, and vision coverage

• Paid vacation and holidays

• 401(k) retirement plan

• Wellness and family support programs

• Flexible hybrid work environment

🧩 Candidate Snapshot

• Experience: 5–7 years in data engineering or related field

• Key Skills: AWS Glue | Python | SQL | ETL | CI/CD | Snowflake | Data Modeling | Cloud Architecture

• Seniority Level: Mid–Senior

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

• Travel: Occasional

🚀 Ready to power the future of data-driven healthcare?
Join a global data and AI team committed to harnessing the power of cloud and analytics to drive discovery, innovation, and meaningful impact worldwide.

Senior Application Analyst – MIS/WMS/ERP | Houston, TX | $90K–$133K | Full-Time

Senior Application Analyst – MIS-WMS-ERP

📍 Location: Houston, TX (Onsite)
💼 Employment Type: Full-time | Senior Level
💵 Salary Range: $90,000 – $133,000 (USD)
👤 Vacancies: 1
🚚 Relocation Assistance: None
🛂 Visa Sponsorship: Not available
✈️ Travel: Not required

About the Role

We’re seeking a Senior Application Analyst to provide critical IT application support for warehouse operations and supply chain systems. This role is responsible for supporting and enhancing a Warehouse Management System (WMS) along with other IT applications used across the CSC facility.

The ideal candidate will have a strong background in application support, SQL, Windows servers, and warehouse systems, with the ability to collaborate with leadership, IT teams, and software vendors to deliver scalable and reliable solutions.

This is a hands-on, impactful role where you’ll work directly with users, troubleshoot complex issues, and ensure smooth system operations to support business-critical processes.

Key Responsibilities

• Provide technical support for WMS and other CSC applications.

• Analyze, design, test, and implement system programs, enhancements, and upgrades.

• Coordinate with IT vendors, leadership, and internal IT teams to prioritize and deliver solutions.

• Install vendor patches, coordinate hot fixes, and support upgrades including testing.

• Monitor and maintain the integrity of data and application interfaces between multiple systems.

• Troubleshoot system failures/errors, resolve root causes, and implement long-term fixes.

• Document and manage issue/task lists, preparing reports for management.

• Participate in on-call rotation for after-hours technical support.

• Act as an advocate for technical standards and best practices across IT systems.

• Mentor and assist junior analysts in system support and project delivery.

Must-Have Qualifications

✅ 3+ years of experience in Warehouse Management Systems (WMS) support
✅ Strong knowledge of Windows servers
✅ Knowledge of SQL, with ability to develop/update SQL scripts
✅ Strong communication skills (verbal & written) and project/task management
✅ Willingness to participate in an on-call rotation

Nice-to-Have Qualifications

⭐ Previous ERP system experience
⭐ Experience supporting large, complex IT environments
⭐ Strong knowledge of application interfaces and data flows

Education & Experience

• Associate’s degree and 2+ years of experience OR 4+ years of experience in lieu of degree.

• 3+ years of technical experience in system analysis, design, testing, and implementation (preferably in large, corporate environments).

• Proven ability to support and troubleshoot complex IT problems.

• Demonstrated growth in leadership ability and mentoring others.

Interview Process

1️⃣ Recruiter Screen
2️⃣ 30-minute Zoom interview with Hiring Manager
3️⃣ Panel Interview (60–120 minutes)

Benefits

• Medical, Dental, and Vision Insurance

• Life Insurance

• Retirement Plans

• Equity Programs

• Paid Time Off (PTO)

• Work From Home Flexibility (as role allows)

• Professional growth opportunities

Why Join

This organization is recognized as a Top Workplace for 10+ consecutive years, offering an environment where you’ll be empowered to grow, collaborate, and contribute to meaningful work. With access to cutting-edge systems and a supportive culture, you’ll have the tools and mentorship needed to advance your career.

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.

Global Head of Commercial Data Foundations (VP Level) - Cambridge, MA - $300,000 - $380,000

Global Head of Commercial Data Foundations (VP Level)
Cambridge, MA
$300,000 - $380,000

Job Description

We are committed to delivering next-generation solutions in healthcare, leveraging data insights and responsibly applying AI to drive deeper understanding and faster solutions. The Global Head of Commercial Data Foundations is a critical leadership role responsible for developing and implementing the overall strategy for Commercial Data Foundations, as well as managing all related digital and data products.

Key Responsibilities

• Commercial Data Strategy: Define and execute the strategy for Commercial Data Foundations, ensuring alignment with business priorities and evolving market ecosystems.

• Standardization and Efficiency: Promote simplification, harmonization, and efficiency within the data platform landscape through convergence and integration.

• Future-Ready Solutions: Design strategies to prepare the organization for evolving commercial needs, enabling high-value, data-driven use cases.

• Product Development: Build and manage a portfolio of digital products to enhance Commercial Data Foundations, ensuring scalability and global distribution.

• Collaboration: Work closely with data Centers of Excellence and advanced analytics/AI teams to optimize data tools, platforms, and technologies.

• Data Governance: Partner with data governance leaders across business units to enable robust governance practices.

• Leadership: Oversee a Commercial Data Engineering Center of Excellence, fostering innovation and operational excellence.

Qualifications

• Education: Bachelor’s or advanced degree in Computer Science, Data Science, Information Technology, Statistics, or Business Administration with a focus on Information Systems.

• Experience:

• Proven success in leading digital and technology initiatives within matrix organizations.

• Demonstrated ability to build and manage high-performing teams in diverse markets.

• A strong track record in creating and scaling digital solutions globally.

• Language: Fluency in oral and written English.

Technical Skills

• Data Management: Proficiency in relational databases (e.g., SQL, NoSQL, Graph/Vector Databases) and Data Lakes.

• Data Visualization: Experience with tools like Tableau, Power BI, or Qlik.

• Integration: Expertise in data integration tools (e.g., IICS) and combining data from diverse sources.

• Cloud Platforms: Familiarity with leading cloud environments.

Why Join Us?

• Growth Opportunities: Foster your career development through promotions, lateral moves, and international roles.

• Comprehensive Benefits: Access a robust rewards package, including healthcare, wellness programs, and parental leave.

• Inclusive Culture: Join a diverse team united by a shared mission to drive progress and deliver extraordinary results.

Equal Opportunity

We are dedicated to creating a culturally inclusive and diverse workplace. All qualified applicants will be considered without regard to race, color, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity.