CluePoints
Overview
Data Architect (BE, UK, PL) at CluePoints. Define and maintain the architectural vision for the data layer within our SaaS platform, ensuring scalability, reliability, and efficiency across data acquisition, storage, transformation, and consumption. Collaborate with Product Managers, Lead Engineers, and Data Engineers to design modern, future-proof data architectures that power our product capabilities. Responsibilities
Architectural Leadership: Define and maintain the data architectural vision aligned with product and engineering strategy; develop a technical roadmap for data systems (pipelines, warehouses, lakes); ensure architectural consistency across squads building on the data platform. Data Layer Ownership: Design and optimize 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. Collaboration & Decision-Making: 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; propose technological evolutions (e.g., Databricks, Parquet) to keep the stack innovative and scalable. Risk & Reliability: Identify technical risks (scalability, data loss, compliance) and define mitigation strategies; guarantee high availability, fault tolerance, and robustness of the data platform. Mentorship & Communication: Provide architectural guidance to engineers, coaching them on data best practices; communicate complex data architecture concepts clearly to both technical and non-technical stakeholders. 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 or equivalent data processing platforms; MySQL and relational data modeling; MongoDB and 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. 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. Strategic Thinking – align data roadmap with overall product and organizational objectives. Job Benefits
Reason to join us Flexibility is part of our DNA Access to online training materials, certifications sponsored by the company, personal growth plans, and career paths to explore new opportunities. Challenging and rewarding job in an ambitious and fast-paced technology scale-up that has received national and international awards. Competitive salary and benefits: Pension Plan, Health Insurance, Working from Home allowance, Cafeteria Plan, Legal Holidays, Bonus Plan. Get notified about new Data Architect jobs in
Poland .
#J-18808-Ljbffr
Data Architect (BE, UK, PL) at CluePoints. Define and maintain the architectural vision for the data layer within our SaaS platform, ensuring scalability, reliability, and efficiency across data acquisition, storage, transformation, and consumption. Collaborate with Product Managers, Lead Engineers, and Data Engineers to design modern, future-proof data architectures that power our product capabilities. Responsibilities
Architectural Leadership: Define and maintain the data architectural vision aligned with product and engineering strategy; develop a technical roadmap for data systems (pipelines, warehouses, lakes); ensure architectural consistency across squads building on the data platform. Data Layer Ownership: Design and optimize 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. Collaboration & Decision-Making: 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; propose technological evolutions (e.g., Databricks, Parquet) to keep the stack innovative and scalable. Risk & Reliability: Identify technical risks (scalability, data loss, compliance) and define mitigation strategies; guarantee high availability, fault tolerance, and robustness of the data platform. Mentorship & Communication: Provide architectural guidance to engineers, coaching them on data best practices; communicate complex data architecture concepts clearly to both technical and non-technical stakeholders. 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 or equivalent data processing platforms; MySQL and relational data modeling; MongoDB and 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. 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. Strategic Thinking – align data roadmap with overall product and organizational objectives. Job Benefits
Reason to join us Flexibility is part of our DNA Access to online training materials, certifications sponsored by the company, personal growth plans, and career paths to explore new opportunities. Challenging and rewarding job in an ambitious and fast-paced technology scale-up that has received national and international awards. Competitive salary and benefits: Pension Plan, Health Insurance, Working from Home allowance, Cafeteria Plan, Legal Holidays, Bonus Plan. Get notified about new Data Architect jobs in
Poland .
#J-18808-Ljbffr