Senior Architect – Data & AI Platforms

Details

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 an enterprise-grade GenAI platform and define golden paths that empower product teams to build trusted, compliant AI and data solutions faster.

Responsibilities

• Own the architectural direction and evolution roadmap for Data & GenAI Platforms, covering ingestion, transformation, orchestration, storage, serving, observability, and governance.
• Architect and scale a Lakehouse-based ecosystem interoperating with Databricks and Snowflake for analytics, ML, and serving use cases.
• Build and formalize the GenAI ecosystem, including standardized RAG patterns, agent architectures, and LLMOps frameworks with strong safety and compliance guardrails.
• Establish application patterns and “paved-road” templates that allow product teams to rapidly deploy AI environments and workflows.
• Industrialize the modern data stack with standardized dbt modeling practices and Airflow orchestration conventions.
• Implement observability and FinOps monitoring for pipelines, models, cost control, quality, compliance, and performance.
• Operationalize data governance through Collibra (or equivalent), embedding GDPR-compliant privacy-by-design and policy enforcement mechanisms.
• Ensure interoperability with enterprise platforms, identity management, ITSM, and security standards in partnership with Platform Engineering and Enterprise IT.
• Lead the Architecture Community: share patterns, review designs, mentor teams, and drive adoption of best practices.
• Define and track architecture success metrics such as reliability, time-to-value, cost efficiency, security, and reuse rates.

Requirements

• 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.
• Deep understanding of architectural patterns such as Lakehouse, data mesh, event-driven design, CDC, and contract-first APIs.
• Experience working across engineering, product, security, and enterprise IT stakeholders with strong communication and influencing skills.
• 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 integrations and enterprise search.
• Familiarity with NIS2 implications for critical infrastructure.
• Dutch language proficiency.

Benefits

• Gross annual salary between €93.000 and €150.000 (including FlexBudget and 8% holiday allowance; bonus or collective profit sharing may apply depending on role).
• FlexBudget (paid out, used to buy extra holiday days, or saved).
• Personal and professional growth support and development opportunities.
• Hybrid working: work 40% at the Rotterdam office, 40% from home, and 20% flexibly; with manager approval you may work abroad up to 3 weeks/year (max 2 consecutively).
• Opportunity to work at the intersection of data, GenAI and sustainability to accelerate Eneco’s climate neutrality goals by 2035.

Where you’ll work

You will join Eneco’s Data & AI domain and collaborate with platform engineers, data engineers, AI specialists, product teams and enterprise IT. The role is based in a hybrid setup from the Rotterdam office, combining technical excellence with a strong sense of purpose.