ABOUT TROPOS
At Tropos, we deliver end-to-end data analytics solutions that lead to actionable business insights. Collaborating with clients across diverse industries, the Tropos team helps companies get the most out of their data by combining deep expertise with unrivaled automation.
We believe in a no-nonsense, results-driven approach—no buzzwords, just clear communication, and real, measurable impact. Working collaboratively on a project basis, we combine expertise and innovation to deliver solutions that make a difference.
ABOUT THE JOB
At Tropos, we enable organizations to transform their data capabilities with purpose-built, scalable, and compliant solutions. Our expertise spans across data infrastructure design, data platform migration, data product engineering, and AI/ML implementation—all underpinned by automation-first accelerators that reduce manual effort and increase delivery speed.
We don’t just follow trends—we prioritize business outcomes, guiding clients through complex data transformations with a focus on data governance, compliance and scalability.
As a Solution Architect you design and implement modern data solutions that generate measurable business impact. In this role, you will play a key part in building integrated data ecosystems across all layers of the modern data stack.
You will bridge the gap between strategic business goals and technical execution, architecting data solutions that enable advanced analytics across diverse platforms and use cases.
Key Responsibilities:
- Architect Tailored Data Platforms: Design data infrastructures that reflect the client’s unique business needs—leveraging our reusable scripts and architectural best practices to ensure consistency, performance, and governance.
- Lead Data Platform Migrations: Plan and support cloud-to-cloud or on-prem-to-cloud migrations using our proven migration approach, optimized through Kali, our proprietary accelerator for reliable and automated migrations.
- Translate Business Needs into Data Products: Collaborate with clients to turn analytical challenges into complete data solutions—from replication and modeling to business-facing dashboards and BI tools.
- Enable AI Readiness: Design architectures that support advanced analytics and machine learning solutions, aligning with both technical and business ambition for long-term scalability.
- Ensure Data Governance and Security: Integrate best-in-class security, data quality, and governance principles into all solution designs to enable trusted self-service environments.
- Contribute to Continuous Improvement: Share insights and improvements with the wider team, and help refine our reusable toolkits, frameworks, and architectural playbooks.
JOB REQUIREMENTS
Data Platform Architecture
- Strong expertise in designing scalable, modular cloud-based data architectures (e.g., on AWS, Azure, or GCP).
- Experience implementing data warehouse architectures (e.g., using Snowflake, BigQuery, Databricks, Redshift).
- Proficiency in infrastructure-as-code (IaC) tools like Terraform, CloudFormation, or Pulumi to deploy and manage data platforms.
- Deep understanding of data modeling principles (e.g., Kimball, Data Vault) and schema design for analytical workloads.
Data Engineering & Scripting
- Strong expertise in SQL and experience in building and orchestrating ETL/ELT pipelines using tools like Apache Airflow, dbt, Fivetran, or custom Python frameworks.
- Familiarity with containerization and orchestration (Docker, Kubernetes) as it pertains to data workloads.
Migration & Automation
- Hands-on experience with data platform migrations
- Ability to use or customize migration accelerators
- Competence in CI/CD pipelines for data platform deployment using tools like GitHub Actions, GitLab CI, or Jenkins.
Security, Governance, and Compliance
- In-depth knowledge of data security best practices and experience with governance frameworks and tools.
- Familiarity with regulatory requirements and their implications for data architecture.
Collaboration & Dev Standards
- Strong familiarity with agile development methodologies, including sprint planning, backlog grooming, and iterative delivery.
- Experience contributing to shared codebases, reusable libraries, and maintaining internal documentation and best practices.
- Ability to balance business needs with technical constraints and long-term maintainability.
- Excellent communication and stakeholder interaction skills.
- Fluent in English (Dutch and French are a plus; other languages are a bonus)
- A team player with a coaching attitude and a growth mindset towards oneself and others;
Nice to have
- Understanding of ML lifecycle tooling and pipelines.
- Proficient with BI and dashboarding tools like Tableau, Power BI, Looker, or Mode Analytics.
IN RETURN, WE OFFER
A competitive salary package with extra-legal benefits, including:
- A company car or legal mobility budget
- Hospitalization and group insurance
- Flexible, tax-friendly options via a cafeteria plan
- A high-end laptop
- Expense allowances
- Meal and eco-vouchers
We also provide:
- A flexible and hybrid work setup: a healthy mix of remote and on-site work
- Knowledge-sharing sessions, sponsored certifications, and team activities
- A can-do, no-nonsense, and supportive attitude among colleagues
- An innovative and entrepreneurial startup mentality, spiced up with strong team spirit and a touch of humor.
INTERESTED? APPLY NOW!
Think we might be a good match? Here’s what to expect:
- Initial Chat - If your profile catches our eye, we’ll invite you for a short intake interview via video call.
- Online Assessments - Complete a personality and cognitive test from the comfort of your home.
- Office Visit - Let’s meet in person at our Antwerp office to get a feel for the workplace vibe.
- Offer Time - Receive a job offer and take the time you need to decide if joining the Tropos team is the right move for you.
At Tropos, we value and respect the diverse backgrounds, experiences, personalities, talents and challenges each individual brings to the table. We believe this diversity enriches our team and fuels creativity.