Lead Data Architect
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Position Overview & Specifications
Our mission
At LOGEX, we turn data into better healthcare.
As we continue to scale our healthcare intelligence platform across Europe, we're investing in a modern, unified data foundation that supports analytics, AI, and data-driven decision-making across our products and services.
You will define the future-state architecture that enables this vision. You will establish the standards, models, and principles that ensure our data is well-structured, interoperable, secure, and trusted across the organisation.
This is a highly visible role with broad influence across Data Engineering, Product, Platform, Governance, and AI teams. You will play a key role in shaping how LOGEX manages and leverages data as we continue to grow, including through acquisitions and expansion across Europe.
Your impact and responsibilities
Define the target-state data architecture
Own and evolve the enterprise data architecture, creating a clear roadmap from the current state to a scalable and future-proof data platform.
Establish data standards and architecture principles
Define the modelling, integration, interoperability, and storage standards that enable consistency across teams and products.
Drive data modelling excellence
Develop conceptual, logical, and physical data models while ensuring semantic consistency and trusted business definitions across the organisation.
Enable governance by design
Embed governance, lineage, security, privacy, and compliance requirements directly into the data architecture.
Support analytics and AI at scale
Ensure the architecture provides the foundations required for reliable analytics, data products, and AI-driven capabilities.
Provide technical leadership
Act as the senior architectural authority across distributed teams, helping engineers and data practitioners make sound design decisions while reducing fragmentation and technical debt.
What you will do
Define and maintain the target-state enterprise data architecture.
Create and drive the roadmap towards a unified data platform.
Develop standards for data modelling, integration, interoperability, and storage.
Design conceptual, logical, and physical data models.
Define canonical data structures and business definitions.
Support engineering teams with architectural guidance and design reviews.
Ensure governance, lineage, security, privacy, and compliance are built into platform design.
Partner with Data Governance, Product, Platform, and AI teams to align architecture with business goals.
Evaluate data technologies, tooling, and architectural trade-offs.
Improve consistency across teams while reducing complexity and technical debt.
Support the integration of acquired businesses into the broader LOGEX data landscape.
Your profile
Significant experience as a Data Architect, Lead Data Architect, or in a senior data architecture or engineering role.
Proven experience designing and implementing enterprise-scale data architectures.
Strong expertise in conceptual, logical, and physical data modelling.
Experience with modern cloud-based data platforms and data integration architectures.
Knowledge of data governance, lineage, metadata management, data quality, and master data management.
Understanding of the foundations required for analytics, AI, and data products.
Ability to influence and align multiple teams without direct authority.
Strong communication skills and the ability to engage both technical and non-technical stakeholders.
Pragmatic, hands-on, and outcome-oriented mindset.
Why LOGEX?
An excellent compensation package (salary, holiday allowance, NS Business Card, phone and internet allowance)
An informal working environment with motivated colleagues
The possibility to work in a hybrid setup
A laptop and everything you need to set up a comfortable and ergonomic home office
Personal and professional development opportunities through our LOGEX Academy
Access to our mental health partner, OpenUp
Regular after-work drinks and many more social events
Contact us!
You can apply via the button below and upload your CV. For more information, or in case you have any
questions, you can contact Wesley Schreuder at
Our company is dedicated to building a workplace that promotes equity, diversity, and inclusion, and we believe that a diverse workforce is essential to our success. As we strive to create a workplace where everyone feels valued and respected, regardless of their race, gender, sexual orientation, age, religion, or any other characteristic, we encourage everyone to apply.
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Candidate Selection & Onboarding Process
Application & Resume Screening
Submit your tailored CV/Resume directly to the talent acquisition portal.
Technical & Competency Interviews
Virtual interviews with the hiring manager and multidisciplinary team.
Formal Offer & Benefits Negotiation
Written agreement outlining compensation, equity, retirement vesting, and relocation allowances.
Onboarding & Corporate Integration
Equipment provisioning, team orientation, and commencement of duties.
United States Work Authorization & Sponsorship Guide
Under United States immigration law (INA Β§ 101(a)(15)(H)), foreign nationals seeking full-time professional positions typically navigate either non-immigrant specialty occupation classifications or immigrant visa sponsorship:
Requires a relevant Bachelor's degree or higher. Employers must file an approved Labor Condition Application (LCA) with the US Department of Labor confirming the prevailing wage rate.
Canadian and Mexican citizens qualify under USMCA (TN status). F-1 STEM graduates benefit from 36-month aggregate work authorization through E-Verify enrolled employers.
Candidate Preparation Blueprint: Technology
Based on transatlantic hiring benchmarks for Lead Data Architect roles across LOGEX's corporate sector, successful applicants typically excel across three core dimensions:
Demonstrated portfolio evidence, architecture/system design case studies, or validated professional certifications directly applicable to Technology.
STAR method competency responses highlighting cross-functional leadership, conflict resolution, and delivering measurable enterprise ROI under tight timelines.
Total compensation expectation aligned within the benchmarked Salary Disclosed on Application bracket, including retirement vesting and health parity.
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