Senior Data Architect

Details

Shape the architectural backbone of Eneco’s Data & GenAI ecosystem and influence how AI accelerates the energy transition at national scale. Lead the design of an enterprise-grade GenAI platform and define golden paths that enable teams to build trusted, compliant AI and data solutions.

Responsibilities

• Define and own the target architecture and evolution roadmap for Data & GenAI Platforms, covering ingestion, transformation, orchestration, storage, serving, observability, and governance.
• Architect and scale a Lakehouse-based ecosystem integrating Databricks and Snowflake for analytics, machine learning, and serving use cases.
• Build and formalize the GenAI ecosystem, including standardized RAG patterns, agent architectures, LLMOps frameworks, vector search, prompt orchestration, evaluation frameworks, and safety guardrails.
• Establish application patterns and paved-road templates that allow product teams to deploy AI environments and workflows rapidly.
• Industrialize the modern data stack through standardized dbt modeling practices and Airflow orchestration conventions.
• Implement observability and FinOps monitoring for pipelines, models, costs, 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, review designs, share patterns, mentor teams, and drive adoption of best practices.
• Define and track architecture success metrics, including reliability, time-to-value, cost efficiency, security, and reuse rates.
• Collaborate with platform engineers, data engineers, AI specialists, product teams, security, and enterprise IT stakeholders.

Requirements

• 10+ years of experience in data, analytics, or AI architecture, including 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, 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, including GitHub Actions, Azure DevOps, Terraform, and Bicep.
• Experience with platform SRE practices.
• Strong communication and influencing skills, with experience working across engineering, product, security, and enterprise IT stakeholders.
• Deep understanding of Lakehouse, data mesh, event-driven design, CDC, and contract-first API architectural patterns.
• A pragmatic, solution-oriented mindset with strategic vision for scalable and 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; depending on the role, a bonus or collective profit sharing may also apply.
• FlexBudget can be paid out, used to buy additional holiday days, or saved.
• Personal and professional development opportunities.
• Hybrid working: 40% in the office, 40% from home, and 20% flexibly. With manager approval, working abroad within approved countries is possible for up to 3 weeks per year, with a maximum of 2 consecutive weeks.
• Flexible working hours, work-from-home options where applicable, and workplace adjustments for people with physical or sensory disabilities.

The role is part of Eneco’s Data & AI domain and is based in a hybrid setup from the Rotterdam office.