06 sep
|
Nexthink
|
Madrid
Experteer Overview As Principal Data Architect, you will own Nexthink’s enterprise data strategy and unify company-wide data into a single data lake. You will lead and mentor a team of data engineers, translating telemetry into product insights to drive revenue growth and reduce churn. You’ll present strategy to C-level stakeholders and shape an AI-ready data foundation. This role combines strategic architecture with hands-on leadership in a fast-growing, cross-functional environment.Compensaciones / Ventajas - Own the enterprise data strategy and architecture, unifying data sources into a single data lake - Lead, develop, and mentor a team of data engineers - Partner with Product Management and business stakeholders to translate usage data into product-led insights (upsell, churn prediction, revenue support) - Manage senior stakeholders and present data strategy and insights to C-level management - Own the technical architecture for data warehousing, data lake design, data modeling, and data access patterns - Drive analytics layer design, including semantic modeling and BI dashboards - Champion an AI-ready data strategy with governance and scalable foundations - Establish data engineering standards, quality indicators, and maintainable code - Ensure scalability, reliability, and performance of data platforms and pipelines - Promote agile,
iterative engineering culture and contribute to team ceremoniesResponsabilidades - Master's degree in Computer Science, Engineering, or related field - 8+ years as Data Engineer or Data Architect; 3+ years leading a team - Proven experience delivering unified data warehouse/data lake architectures - Experience delivering product-led insights with Product and business teams - Experience presenting to executive/C-level audiences - Strong database design, data modeling, and handling structured/unstructured data - System design and architectural skills for scalable data platforms - SQL and Python proficiency; ETL/ELT pipelines experience - Experience with dbt, AWS Lambda, Step Functions, Glue, Athena, Redshift or similar - Experience with data visualization tools (Power BI, QuickSight, Tableau) - DevOps practices, CI/CD; Git - Containerization and infrastructure tools (Docker, Terraform, Jenkins) - Hands-on experience with AWS - Ability to own projects end-to-end with autonomy - Excellent English communication and collaboration skills - Solid understanding of AI/ML concepts; hands-on AI agents or RAG experience a plus - Ability to architect AI-ready data foundations and partner with AI/ML teamsRequisitos principales - Hybrid work model - Unlimited vacation - Private Health Insurance - Meal vouchers 11 EUR - Gym subsidy up to 25 EUR - Relocation package
📌 Principal Data Architect (Product Intelligence) (Madrid)
🏢 Nexthink
📍 Madrid