Summary: Seeking a highly skilled Data Architect / Principal Engineer to design, build, and maintain cutting-edge data platforms and solutions, empowering critical business decisions. Highlights: 1. Architect and implement scalable data solutions and efficient data models 2. Leverage SQL, Spark, Python (PySpark), and Airflow for data orchestration 3. Collaborate with stakeholders to align data solutions with organizational needs We are looking for a highly skilled **Data Architect / Principal Engineer** to design, build, and maintain cutting\-edge data platforms and solutions that empower critical business decisions. This role demands a hands\-on approach, technical expertise, and a commitment to creating scalable and reliable data services. **Responsibilities** * Architect and implement scalable data solutions, including datamarts, ingestion pipelines, and ETL processes to meet business and operational needs * Design and develop efficient data models that ensure data quality, integrity, and optimal performance for analytics * Write and optimize SQL queries (Databricks SQL preferred), Spark jobs, and Python (PySpark) scripts, leveraging Airflow for orchestration * Integrate diverse data sources through mechanisms such as REST APIs and design models for enhanced data accessibility and analysis * Collaborate with business stakeholders to align data solutions with organizational requirements, working within agile sprints and managing ad\-hoc requests * Publish clear and comprehensive documentation to facilitate the effective use of organizational data assets * Share knowledge and best practices to contribute to team learning and development **Requirements** * Minimum of 7 years of experience in Data Engineering, with a focus on designing and optimizing scalable data solutions * Expertise in SQL (Databricks SQL preferred), Spark, and Python, including the use of PySpark and Airflow * Proficiency in building ETL pipelines and integrating data via REST APIs * Knowledge of AWS services and big data technologies, including relational databases and columnar storage systems like Redshift * Understanding of advanced data modeling and integration techniques to support high\-performance analytics * Strong communication and documentation skills with a team\-oriented mindset * Flexibility to adopt and implement new technologies based on evolving business needs * Advanced proficiency in English (B2\+/C1\)