Data Architect (m/f/d) for Vantage Towers

At Vantage Towers, we’re on a mission to power Europe’s sustainable digital transformation. As a leading tower company, we’re ushering in an era of technology-driven advances to help connect people, businesses, and internet-enabled devices like never before. We combine the scale, stability and quality of our tower network with the agility, optimism and energy of a start-up.

As a young TowerCo , we have already achieved strong results with a continued focus on accelerating growth and a special emphasis put on sustainability. As part of our team, you’ll work in a dynamic and multicultural environment that embraces open communication, collaboration and teamwork.

If you’re ready to take responsibility and shape the future of telco infrastructure with us, then let’s level up in your career and reach the top , together.

Your Responsibilities

• Data Architecture: You will be the owner of the Data Estate that supports our VT Data Lake and analytics landscape. By designing and owning scalable, secure, and future-proof data and defining end-to-end solutions across cloud platforms, you'll have the technical ownership of our GCP solution. • Model & Solutions Design: You build and optimize data solutions and models (ETL/ELT, orchestration, services and storage design) to support analytics and reporting at scale. • Technical Leadership: You can hold technical design reviews, assess architectural trade-offs, establish data governance principles, and ensure solutions follow industry best practices. • Vendor Management: You lead and challenge external vendors to deliver high-quality, maintainable, and compliant data and analytics solutions. • AI & Use Case Enablement: You enable targeted AI/ML use cases by defining governed data access patterns and curated datasets that provide trusted context, while exploring and piloting emerging technologies (including agentic AI).

Your Profile

• Educational Background: University degree in IT, computer science, engineering, business or maths with IT relevancy, or equivalent practical experience. • Professional Experience: 4 years of experience in data architecture, data engineering, or related roles, with at least 1 year minimum experience as a Data Architect. Practical experience designing or implementing scalable, cloud-native data solutions, managing cloud infrastructure and supporting the team with reviews. • Technical Skills: Mandatory: • Proficient programming skills in Python or Java alongside advanced SQL. • Strong knowledge of data architecture principles (data modeling, integration patterns, pipeline orchestration, storage design). • Hands-on experience working in GCP (or sufficient experience in other Cloud environments), Airflow/DBT and BigQuery. Nice to have: • Hands-on exposure to supporting AI/ML workloads on data platforms (e.g., Vertex AI or BigQuery ML), experience enabling cross-platform access to governed data (e.g., MCP/A2A concepts) • Experience with BI/Reporting platforms (preferably Power BI). • Soft Skills: You have a confident, structured, and solution-oriented working style, with the ability to simplify complex technical designs for non-technical stakeholders and balance conceptual thinking with pragmatic execution. • Language Proficiency: Fluent English (C1 level), both written and spoken (mandatory).