Responsibilities Translate stakeholder requirements into target architecture and delivery guidance.  Design data platforms and pipelines (ingestion, transformation, serving) with scalability, performance, security, and cost in mind.  Define data models/schemas and standards (incl. evolution and lifecycle).  Select/integrate the right technologies (lake/warehouse, databases, processing frameworks).  Ensure governance: data quality, privacy/security, compliance, monitoring.  Provide technical leadership: architecture/design reviews, code reviews, mentoring, escalation support.  Maintain clear documentation support planning and estimation.  Qualifications Completed studies in computer science, business informatics or a comparable qualification. Proven enterprise experience as a Data Architect / Data Engineering Architect.  Strong knowledge of data modeling, ETL/ELT, pipelines, distributed processing, fault tolerance.  Proficiency in Python, SQL.  Cloud experience in AWS and/or Azure (both preferred).  Strong stakeholder communication and ability to drive technical decisions.  Very good communication in English and Polish. Open to working in a hybrid mode, with 1 day per month at our office in Katowice. Nice to have:Terraform/CI/CD, Spark/Databricks, Snowflake, dbt, Airflow/ADF, Kafka/Kinesis/Glue, Docker/K8s, MLOps exposure. About Aim ReplyAt AIM Reply, our mission is to establish ourselves as a world-class boutique AI consulting and services company. Dedicated to transforming businesses by harnessing the profound capabilities of artificial intelligence, we serve a range of industries including retail, manufacturing, logistics and financial services, underpinned by our deep expertise in data and advanced analytics. Our collaboration with industry-leading tech giants and cutting-edge AI startups enriches our approach, enabling us to deliver bespoke, industry-specific AI solutions.