Role Advantages: * Strategic impact → work directly with the CTO to shape and align data architecture with company-wide technology strategy. * Cutting-edge stack → Redshift, S3, Airflow, Kafka, Python, SQL. * Leadership opportunity → mentor junior engineers and drive best practices.
Requirements: * 6+ years of experience in data engineering / architecture. * Strong expertise in Amazon Redshift, S3, Airflow. * Proven experience with Kafka (streaming pipelines, event-driven architectures). * Deep understanding of data modeling, partitioning, indexing, and query optimization. * Proficiency in Python and SQL. * Strong knowledge of data governance, lineage, and quality frameworks. * Experience in leading or mentoring junior engineers.
Responsibilities: * Design and implement scalable data models and ETL/ELT pipelines for structured and semi-structured data. * Integrate streaming data from Kafka into Redshift/S3 environments. * Optimize storage, partitioning, and performance of large datasets in Redshift. * Define and enforce data architecture standards, governance, and best practices. * Collaborate with BI, Data Science, and Engineering teams to align on data requirements. * Ensure reliability, scalability, and security of the data infrastructure.
We offer: * Competitive compensation * Remote-friendly environment * Influence on data strategy and architecture * Modern tech stack and challenging projects * Opportunity to grow into a Principal Architect role
Interested? Apply now and help us build a world-class data platform!
