Data Architect (BE, UK, PL)

Join to apply for the Data Architect (BE, UK, PL) role at CluePoints

As a Data Architect, you will 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. You will work closely with Product Managers, Lead Engineers, and Data Engineers to design modern, future‑proof data architectures that power our product capabilities. This domain‑architect role requires 3‑5 years of experience in backend development and 3–5 years of experience in data architecture within a SaaS environment.

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• Master’s degree in Computer Science, Engineering, or related discipline (or equivalent experience).
  
• 5 years of experience in backend 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 or equivalent data processing platforms, MySQL and relational data modeling, MongoDB and other NoSQL paradigms, Parquet and modern data file formats.
  
• Proficiency in at least one OO programming language (Python preferred).
  
• Knowledge of containerization (Docker, Kubernetes) and cloud environments (Azure preferred).
  
• Familiarity with data governance, compliance, and performance optimization.
  

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• 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.
  
• Strategic Thinking – align data roadmap with overall product and organizational objectives.
  

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• 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 optimise data acquisition, transformation, and storage pipelines.
  
• Ensure data quality, integrity, and governance across multiple systems.
  
• Promote scalability, performance, and cost efficiency in all data‑related solutions.
  
• Partner with Product Managers to balance product roadmap priorities with data infrastructure needs.
  
• Collaborate with Data Engineers and Developers to implement best practices in data modeling, pipeline design, and performance tuning.
  
• Propose technological evolutions (e.g., Databricks, modern file formats like Parquet) to keep the stack innovative and scalable.
  
• Identify technical risks (scalability, data loss, compliance) and define mitigation strategies.
  
• Guarantee high availability, fault tolerance, and robustness of the data platform.
  
• Provide architectural guidance to engineers, coaching them on data best practices.
  
• Communicate complex data architecture concepts clearly to both technical and non‑technical stakeholders.
  

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• Flexibility is part of our DNA.
  
• Many activities such as team lunches, happy hours, team building, holiday parties and many other celebrations.
  
• Learning, training and personal growth opportunities with online training materials, certifications sponsored by the company, personal growth plans, and career paths.
  
• Fast‑growing, multi‑disciplinary and international team with over 20 nationalities, in an English‑speaking working environment.
  
• Challenging and rewarding job in an ambitious fast‑paced technology scale‑up that has received many national and international awards including “Scale‑Up of the year 2019”.
  
• Competitive salary & benefits.
  

Seniority level: Mid‑Senior level

Employment type: Full‑time

Job function: Pharmaceutical Manufacturing