Principal Data Architect (Product Intelligence) en Madrid, España

The Product Intelligence team serves a critical role by providing business intelligence to the organization: we synthesize data sources across the company, delivering product usage and business insights that directly shape product strategy and decision-making.

We are looking for a Principal Data Architect to lead our Product Intelligence data function and to bring your experience and vision in enterprise data architecture, data modeling, and team leadership. You will own the strategy for bringing together disparate, company-wide data sources into a single, unified data lake, and will lead, develop, and mentor a team of data engineers to deliver on that vision. This is a highly strategic role: you will translate telemetry and usage data into product-led insights that identify upsell opportunities, predict churn, and help the business meet its revenue targets, and you will regularly manage senior stakeholders and present your data strategy directly to C-level management. We're looking for someone with a strong data background who also understands the strategic importance of building an AI-ready data foundation.

• Own the enterprise data strategy and architecture, unifying disparate company-wide data sources into a single, unified data lake.
• Lead, develop, and mentor a team of data engineers, providing technical direction, coaching, and supporting their career growth.
• Partner with Product Management and business stakeholders to translate product usage and telemetry data into product-led insights - identifying upsell opportunities, predicting churn, and supporting revenue targets.
• Manage senior stakeholders across the business and regularly present data strategy, insights, and recommendations to C-level management.
• Own the technical architecture for data warehousing, data lake design, data modeling, and data access patterns.
• Drive the design and evolution of the analytics layer, including semantic modeling and dashboarding within BI tools.
• Champion an AI-ready data strategy, ensuring our data foundations, models, and governance are structured to support future AI and advanced analytics use cases.
• Establish data engineering standards, best practices, and measurable quality indicators to ensure high-quality, maintainable code.
• Ensure scalability, reliability, and performance of data platforms, pipelines, and analytics workloads.
• Promote an agile, iterative engineering culture and actively contribute to team ceremonies.

We are the pioneers and trailblazers of a global IT Market Category (DEX) that is shaping the future of how the world works, giving our customers’ IT Teams total digital visibility across their enterprise. Our innovative solutions integrate real-time analytics, automation, and employee feedback across all endpoints. This enables our IT teams to solve complex technical challenges, create ever more productive workplaces, and deliver happy, satisfied employees in the digital workplace.

With over 1000 employees across 5 continents, Nexthink operates as One Team, connecting, collaborating and innovating to continuously grow. We call our employees ‘Nexthinkers’ and our commitment to diversity, inclusion, and equity is second to none. We currently have over 75 nationalities working with us, from all cultures and backgrounds, speaking many different languages.

IIf you are looking for a change and like a nice atmosphere, lots of challenges, and having fun while working, this is a great opportunity for you! Check what we offer:

•  Permanent Contract and a competitive compensation package.
• 📍 Amazing centrally located offices near the Bernabeu Stadium.
• 🩺 Private Health Insurance (Sanitas) and daily meal vouchers of 11 EUR will be entirely covered by us.
• 🏡 Hybrid work model balancing office and remote work, with a structured approach for new hires to foster connections and onboarding.
•  🏖️ Flexible Hours and unlimited vacation (employees have unlimited paid time off on top of the 23 days of holidays we offer) plus 3 company-paid volunteer days.
• 🤸 Up to 25 EUR per month for a gym subscription.
• 🛴 Flexible compensation plan for childcare & public transportation.
• 🧑‍🏫 Reimbursement of up to 50% of the cost of English & Spanish classes.
• 🍉 Fresh fruit, cookies, soft drinks and protein shakes at the offie.
• 🍕 Regular company and team events like Pizza talks, Team Building activities, Christmas parties, hosting Meetups at the office and more!
• 📣  Bonuses for referring successful hires after three months of continuous employment.
• 🚚 We offer a relocation package to people who are coming from another country.

Please note that not all the benefits listed above are available for temporary, contract, and internship roles. To ensure you have the most up-to-date information, we recommend checking with your Recruitment Partner.

The base salary for this role is €60,000 – €90,000 gross per year, with a total on-target earnings (OTE) range of €69,000– €103,500 including an annual performance bonus. You'll also be part of our broader total rewards package — including benefits tailored to where you live and how you work best. 

We set our pay ranges using objective criteria: the scope and level of the role, the skills it takes to do it well, and the relevant market data. Ranges are reviewed every year to remain competitive and fair. We're transparent about this because we think you deserve to know what you're working towards from day one.  In accordance with the EU Pay Transparency Directive (2023/970), we publish salary ranges on every Nexthink role. We won't ask what you currently earn or your previous salary. What matters to us is what this role is worth and whether it works for you. Nexthinkers come from all kinds of backgrounds, and that's what makes us stronger. We welcome applications from everyone.

full-time

permanent

hybrid

EUR 60,000–90,000 per year

Nexthink is the leader in digital employee experience management software. The company provides IT leaders with unprecedented insight allowing them to see, diagnose and fix issues at scale impacting employees anywhere, with any application or network, before employees notice the issue. As the first solution to allow IT to progress from reactive problem solving to proactive optimization, Nexthink enables its more than 1,300 customers to provide better digital experiences to more than 18 million employees. Dual headquartered in Lausanne, Switzerland and Boston, Massachusetts, Nexthink has 9 offices worldwide.

#Li-Hybrid

Product Operations

Data Engineering Experience 

• Master’s degree (or equivalent) in Computer Science, Engineering, or a related field. 
• 8+ years of experience as a Data Engineer or Data Architect, including 3+ years leading, developing, and mentoring a team of data engineers. 
• Proven track record designing and delivering unified data warehouse/data lake architectures that bring together disparate, company-wide data sources. 
• Experience partnering with Product and business teams to deliver product-led insights, such as identifying upsell opportunities, predicting churn, or supporting revenue growth. 
• Demonstrated experience managing senior stakeholders and presenting data strategy and insights to executive/C-level audiences. 
• Strong expertise in database design, data modeling, and handling both structured and unstructured data. 
• Strong system design and architectural skills, with the ability to design scalable data platforms. 
• Proficiency in SQL and Python, with solid experience building and maintaining ETL/ELT pipelines. 
• Familiarity with modern data stack tools such as dbt, AWS Lambda, Step Functions, Glue, Athena, Redshift, or similar. 
• Experience with data visualization tools such as Power BI, QuickSight, Tableau, or similar. 
• Practical knowledge of DevOps practices, CI/CD pipelines, and tools such as Git. 
• Experience with containerization and infrastructure tools (e.g., Docker, Terraform, Jenkins). 
• Hands-on experience with the AWS cloud platform. 
• Proven ability to own projects end-to-end and operate with a high level of autonomy. 
• Excellent communication and collaboration skills, with fluency in English. 

AI Awareness & Strategic Understanding 

• Solid understanding of AI/ML and LLM concepts and their strategic implications for data architecture — hands-on experience building AI agents or RAG systems is a strong plus. 
• Ability to identify where and how AI can create value across the data platform, and to architect data foundations (e.g., semantic layers, data quality, governance) that make the data lake AI-ready. 
• Comfortable partnering with AI/ML practitioners or vendors to enable future AI-powered use cases, such as natural-language data exploration.