Used Tools & Technologies
IaC Machine LearningRequired Skills & Competences
Tag name is followed by "@" symbol and proficiency level value.
About proficiency levels:
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Security @ 4
DevOps @ 6
Terraform @ 6
dbt @ 4
Airflow @ 4
GitHub @ 6
GitHub Actions @ 6
CI/CD @ 6
Azure @ 4
Communication @ 7
SRE @ 6
Performance Optimization @ 4
GDPR @ 4
API @ 7
Databricks @ 4
Azure DevOps @ 6
Snowflake @ 4
Compliance @ 4
LLMOps @ 4
Observability @ 4
AI @ 4
RAG @ 4
GenAI @ 4
- 1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;
- 3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;
- 7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;
- 10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.
Details
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. 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.
Responsibilities
- Own the architectural direction and evolution of Eneco’s Data & GenAI Platforms, defining the target architecture and roadmap that enables high-velocity delivery of data, analytics, ML, and GenAI solutions while ensuring compliance, security, and efficiency.
- 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).
- Build and scale the GenAI platform, establishing standardized patterns for RAG, agent workflows, and LLMOps to enable product teams to rapidly deploy safe and reliable AI solutions.
- Drive industrialization of the modern data stack, embed governance by design, and improve developer experience through golden paths, templates, and reference architectures.
- 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.
- 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 integrations and enterprise search.
- Familiarity with NIS2 implications for critical infrastructure.
- Dutch language proficiency.
This is where you’ll work
You will join Eneco’s Data & AI domain, a central hub driving the company’s digital transformation. You’ll work in a hybrid setup from our Rotterdam office, collaborating with platform engineers, data engineers, AI specialists, product teams and enterprise IT. The role combines technical excellence with a strong sense of purpose: accelerating the energy transition.
Benefits
- Gross annual salary between €93,000 and €150,000 (including FlexBudget, 8% holiday allowance, and depending on your role a bonus or collective profit sharing).
- FlexBudget (pay out, buy extra holiday days, or save).
- Personal and professional development support.
- Hybrid working: 40% at the office, 40% from home, and 20% flexibly. With manager approval, you may work abroad (within approved countries) up to 3 weeks/year, max 2 consecutively.
Contact
For more information about this job function contact the recruiter via the contact details in the posting.