Data Architect / Principal Engineer
We are seeking a Data Architect / Principal Engineer to shape scalable data platforms and services that support critical business decisions. You will design and deliver datamarts, ingestion pipelines, and ETL processes while ensuring data quality, integrity, and performance. Join the team to collaborate closely with stakeholders and help evolve our data capabilities—apply today
Responsibilities
- Architect and deliver scalable data solutions, including datamarts, ingestion pipelines, and ETL processes aligned to business and operational needs
- Design efficient data models that uphold data quality and integrity while optimizing analytics performance
- Develop and tune SQL queries (Databricks SQL preferred), Spark jobs, and Python (PySpark) code, using Airflow for orchestration
- Integrate varied data sources using REST APIs and create models that improve data accessibility and analysis
- Coordinate with business stakeholders to align data solutions to organizational needs, working in agile sprints and handling ad-hoc requests
- Produce clear, complete documentation to enable effective use of organizational data assets
- Share best practices and domain knowledge to support ongoing team learning and growth
Requirements
- Proven background with 9+ years in Data Engineering, focused on architecting and tuning scalable data solutions
- Hands-on experience with SQL (Databricks SQL preferred), Spark, and Python, including PySpark and Airflow
- Practical expertise building ETL pipelines and connecting data through REST APIs
- Solid knowledge of AWS services and big data technologies, including relational databases and columnar storage such as Redshift
- Deep understanding of advanced data modeling and integration approaches for high-performance analytics
- Clear communication and documentation skills with a collaborative, team-first mindset
- Ability to adapt and introduce new technologies as business priorities evolve
- Advanced proficiency in English (B2+/C1)
