Senior Data Architect

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• Shape the architectural backbone of Eneco’s Data & GenAI ecosystem and directly influence how AI accelerates the energy transition at national scale.
• Lead the design of a cutting-edge, enterprise-grade GenAI platform where innovation, governance and real-world impact come together.
• Work at the intersection of strategy and hands-on architecture, defining golden paths that empower teams to build trusted, compliant AI and data solutions faster than ever.

Why choose Eneco? At Eneco, we're accelerating the energy transition through data and AI-driven decision-making at scale, guided by our One Planet plan and our ambition to become the first CO₂-neutral energy company by 2035. Our Data & GenAI Platforms are at the heart of this transformation, enabling product teams to deliver intelligent, secure, and compliant solutions that support the future of sustainable energy.

As a Senior Architect – Data & AI Platforms, you will set the architectural vision and golden paths for Eneco’s data and AI ecosystem. You’ll work closely with Platform Engineering, Enterprise IT, and product teams to shape a scalable, interoperable, and future-proof platform landscape. In an environment that values collaboration, innovation, and continuous improvement, you will play a defining role in ensuring our platforms are trustworthy, cost-efficient, and enterprise-grade – empowering teams to innovate with confidence and speed.

What You’ll Do As a Senior Architect – Data & AI Platforms, you will own the architectural direction and evolution of Eneco’s Data & GenAI Platforms. You will define the target architecture and roadmap that enables high-velocity delivery of data, analytics, ML, and GenAI solutions while ensuring compliance, security, and efficiency.

You will lead the design of a Lakehouse-centric ecosystem integrating technologies such as Databricks, Snowflake, Collibra, dbt, Airflow, and the Microsoft AI ecosystem (Copilot Studio, AI Foundry, Power Platform). A key focus will be building and scaling the GenAI platform, establishing standardized patterns for RAG, agent workflows, and LLMOps that enable product teams to rapidly deploy safe and reliable AI solutions.

Through platform thinking and hands-on expertise, you’ll drive the industrialization of the modern data stack, embed governance by design, and improve developer experience through golden paths, templates, and reference architectures. You will act as a trusted advisor across the organization, coaching teams and contributing to Eneco’s strategic architecture vision.

Is this about you?

• 10+ years of experience in data, analytics, or AI architecture, with at least 5 years leading modern cloud data platforms at scale.
• Deep expertise with Databricks, Snowflake, dbt, Airflow, and Collibra, including performance optimization, cost control, and governance design.
• Proven experience delivering GenAI and LLMOps platforms (RAG, vector search, prompt orchestration, evaluation frameworks, and guardrails), preferably on Azure.
• Strong knowledge of data governance, privacy and compliance (GDPR), lineage, metadata management, RBAC/ABAC, and policy-as-code.
• Proficiency with CI/CD and Infrastructure as Code (GitHub Actions, Azure DevOps, Terraform/Bicep) and platform SRE practices.
• Experience working across engineering, product, security, and enterprise IT stakeholders with strong communication and influencing skills.
• Deep understanding of architectural patterns such as Lakehouse, data mesh, event-driven design, CDC, and contract-first APIs.
• A pragmatic, solution-oriented mindset with a strategic vision for scalable, compliant platforms.

Nice to have:

• Experience in the energy or utilities sector.
• Knowledge of Azure OpenAI integration