Enterprise Data Architect
Confirmed on the employer's own hiring board on Nov 5, 2026. First seen by Alion on Nov 4, 2026. Proximus scores B on the Alion truth index.
Summary
We are looking for an Enterprise Data Architect who combines long-term vision, executive influence, governance discipline and real technical depth. The ideal candidate can shape the enterprise direction for data and BI, create clarity across a complex modern platform landscape, and then work directly with delivery teams to make the architecture real.
The Enterprise Data Architect defines and steers the long-term enterprise data & analytics architecture. The role connects business strategy, governance, information architecture and modern platform engineering. The successful candidate can explain complex data concepts in clear C-level language, while remaining sufficiently hands-on to challenge designs, review code or configurations, prototype solutions and work credibly with developers, data engineers, BI specialists, security experts and business data owners.
Responsibilities
- Enterprise data strategy: Create and maintain multi-year data & analytics supporting AI company strategy aligned with business growth, profitability, operational efficiency, regulatory obligations and technology modernization. Able to put into practice DAMA-DMBOK / TOGAF principles.
- Target architecture and roadmaps: Define current-state, transition and target architecture across data platforms, integration, storage, processing, semantic layers, BI, governance, metadata, data quality and information security.
- Executive advisory: Translate architecture choices, risks, dependencies and investment needs into concise, business-oriented recommendations for C-level executives, steering committees and senior stakeholders.
- Architecture governance: Establish architecture principles, standards, reference patterns, decision records and review mechanisms. Ensure projects comply with the target architecture while allowing justified exceptions.
- Hands-on technical leadership: Run design workshops, review data models and technical designs, inspect SQL, notebooks, pipelines, APIs, security models and platform configurations, and build focused proofs of concept when needed.
- Business and technology alignment: Bridge business domains, data owners, platform teams, BI teams, AI teams, enterprise architecture, security, privacy, legal, procurement and delivery partners.
- Technology portfolio rationalization: Clarify the role and boundaries of Snowflake, Databricks, Microsoft Fabric, Power BI, Qlik and other enterprise data capabilities. Reduce overlap, unmanaged proliferation, cost and vendor lock-in.
- Delivery assurance: Provide architecture support from ideation through implementation, migration and operational handover, including non-functional requirements, cost, resilience, observability and supportability.
Requirements
- 10+ years in data, analytics or architecture, including 5+ years in enterprise data architecture.
- DAMA CDMP and/or TOGAF certification is a strong plus.
- Ability to apply TOGAF, DAMA-DMBOK and pragmatic architecture practices such as capability maps, principles, reference architectures, ADRs, roadmaps and architecture review boards.
- Proven ability to advise C-level and senior governance bodies.
- Current hands-on credibility across data engineering, modelling, BI and cloud platforms.
- Strong experience designing semantic layers and governed enterprise metrics.
- Strong command of data governance, metadata, lineage, quality, ownership and security.
- Good knowledge of telecommunications or a similarly regulated, high-volume sector.
- Expert working knowledge of Snowflake, Databricks and Microsoft Fabric, including architectural strengths, limitations, interoperability, governance, security, performance and cost models.
- Strong knowledge of Qlik and Microsoft Power BI, plus awareness of alternatives and modern headless or universal semantic-layer approaches.
- Understanding of enterprise catalog, lineage and governance capabilities such as Microsoft Purview, Collibra, Alation, Atlan, DataHub or equivalent.
- Practical understanding of SQL, Python and/or Scala, Spark, dbt, orchestration, CI/CD, APIs, events, CDC, data testing and infrastructure-as-code concepts.
- Sound knowledge of AWS architecture, identity and access management, private networking, encryption, monitoring, data residency and FinOps.
- Excellent written and spoken English language.
We are offering
- Good compensation package - Competitive € salary plus attractive benefits.
- Development opportunities.
- Challenging but also very friendly working environment.
- And much, much more...
About Proximus Global
Proximus Global, combining the strengths of Telesign, BICS, and Route Mobile, is transforming the future of communications and digital identity. Together, our solutions fuel innovation across the world’s largest companies and emerging brands. Our unrivalled global reach empowers businesses to create engaging experiences with built-in fraud protection across the entire customer lifecycle.
Our comprehensive suite of solutions - from our super network for voice, messaging, and data, to 5G and IoT; and from verification and intelligence to CPaaS for personalised omnichannel engagement - enables businesses and communities to thrive. Reaching over 5 billion subscribers, securing more than 180 billion transactions annually, and connecting 1,000+ destinations, we honour our commitment to connect, protect and engage everyone, everywhere.