Job Description
We are seeking a Data Architect to define and maintain the architectural vision for our data layer within our SaaS platform, ensuring scalability, reliability, and efficiency across data acquisition, storage, transformation, and consumption.
The successful candidate will work closely with Product Managers, Lead Engineers, and Data Engineers to design modern, future-proof data architectures that power our product capabilities. This is a domain architect role with a specialization in data systems, requiring 3-5 years of experience in BE development and 3–5 years of experience in data architecture within a SaaS environment.
Responsibilities
* Define and maintain the data architectural vision aligned with product and engineering strategy.
* Develop a technical roadmap guiding the evolution of data systems (pipelines, warehouses, lakes).
* Ensure architectural consistency and integration across squads building on the data platform.
* Design and optimize data acquisition, transformation, and storage pipelines.
* Ensure data quality, integrity, and governance across multiple systems.
* Partner with Product Managers to balance product roadmap priorities with data infrastructure needs.
* Work with Data Engineers and Developers to implement best practices in data modeling, pipeline design, and performance tuning.
Technical Qualifications
* Master’s degree in Computer Science, Engineering, or related discipline (or equivalent experience).
* 5 years of experience in BE development of data-intensive SaaS applications.
* 3–5 years of experience in data architecture or related roles in a SaaS environment.
* Strong expertise in data modeling, databases, and ETL/ELT pipelines.
* Hands-on experience with Databricks, MySQL, MongoDB, and Parquet.
* Proficiency in at least one OO programming language (Python preferred).
Leadership & Soft Skills
* Critical Thinking – analyze data challenges deeply, propose scalable solutions.
* Ownership – make architecture decisions independently, with accountability.
* Stakeholder Management – align product, engineering, and business perspectives.
* Communication – convey complex data concepts clearly to technical and business stakeholders.
* Mentorship – guide Data Engineers and Developers in data best practices.
Benefits
* Flexibility is part of our DNA.
* Many activities are organized during the year such as team lunches, happy hours, team buildings, holiday parties and many other celebrations!
* Access to online training materials, certifications sponsored by the company, personal growth plans, and career paths to explore new opportunities.
* Competitive salary & benefits such as meal vouchers, pension plan, health insurance, mobility budget (company car/housing allowance), working from home allowance, hybrid work organisation (home/office), and many company perks.
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