Data Solution Architect

As Lead Data Engineer, you will be a key contributor in owning our core data assets as products. Acting as the bridge between technical teams and product managers, you will translate business needs into a data roadmap. Blending technical expertise with a product mindset, you will design and implement the scalable data solutions that power our products, ensuring our data effectively empowers its consumers across Lighthouse.

Where you will have impact

• Take ownership of key data products, becoming the go-to expert for its entire lifecycle, quality, and business applications.
• Design, implement, and maintain the scalable streaming and batch data pipelines that power our products and internal analytics.
• You will be at the forefront of our AI evolution, helping to embed intelligence into our platform. You’ll not only build AI features for our customers but also champion an AI-first development culture within the engineering team.
• Collaborate directly with data consumers to understand their needs, gather requirements, and deliver robust data solutions.
• Deliver improvements in data quality, latency, and reliability.
• Be driven by a product-first mindset, focusing on delivering value and solving business problems through data.

About our team

The Data Products Team is the definitive source of truth for Lighthouse's data, sitting at the foundational layer of our entire data ecosystem.

Their core mission is to model and deliver high-quality, foundational data products that are essential ingredients for all downstream product features, machine learning models, and data science initiatives across the company:

• Data Modeling & Ownership: Defining and optimizing core data entities for product and analytical use.
• Pipeline Engineering: Building robust ETL/ELT pipelines to transform raw integrated data into trusted domains.
• Data Quality: Establishing standards and monitoring the health of all foundational data assets.

What's in it for you?

• Flexible time off: Autonomy to manage your work-life balance.
• Alan Flex benefits: 160€/month for food or nursery.
• Flexible retribution: Optional benefits through tax-free payroll deductions for food, transportation and/or nursery.
• Wellbeing support: Subsidized ClassPass subscription.
• Comprehensive health insurance: 100% Alan coverage for you, your spouse, and dependents.
• Impactful work: Shape products relied on by 85,000+ users worldwide.
• Referral bonuses: Earn rewards for bringing in new talent.

Who you are

• Experience in a data engineering role, with a proven track record building scalable data pipelines.
• A product engineering mindset, with a focus on understanding business context and working closely with stakeholders to solve their data challenges.
• Professional proficiency in Python for data processing and pipeline development.
• Strong knowledge of cloud database solutions such as BigQuery, Snowflake, or Databricks.
• Experience with microservice architectures and data streaming systems like Kafka or Google Cloud Pub/Sub.
• You are a forward-thinking builder who views AI as a core component of modern architecture. You have a proven interest (or experience) in working with LLMs, agentic workflows, or AI-assisted coding tools to ship higher-quality code, faster.
• Fluency in English, with excellent communication and stakeholder management skills.

We welcome

• Hands‑on experience with our data stack, including dbt, Terraform, or Atlan.

Technologies you will work with

Mostly: GCP, Python, BigQuery, Kubernetes, Airflow, dbt, Terraform, Atlan (data governance tool), Soda

Equal Opportunity Statement

We are committed to fostering a diverse and inclusive workplace that values equal opportunity for all. We welcome candidates from all backgrounds, regardless of age, gender, race, religion, sexual orientation, and disability. We actively encourage applications from individuals with disabilities and are dedicated to providing reasonable accommodations throughout the recruitment process and during employment to ensure all qualified candidates can participate fully.