Solvd, an AI-first advisory and digital engineering firm with a 12-year track record, is seeking a Senior Data Platform Engineer to join their growing team. The company operates globally with offices across the USA, Brazil, Mexico, Ukraine, Poland, Argentina, and Georgia, focusing on transforming businesses through AI integration.
The role demands expertise in distributed systems, particularly in scaling and optimizing data platforms. You'll be responsible for building and fine-tuning data clusters, working with technologies like Spark, Hadoop, Kubernetes, Trino, Delta Lake, and Druid. The position requires deep technical knowledge of object storage solutions, HDFS protocols, and lakehouse technologies.
As a Senior Data Platform Engineer, you'll be at the forefront of innovation, introducing and scaling new data platform solutions while collaborating with cross-functional teams. The ideal candidate should have strong problem-solving abilities and excellent communication skills to effectively work with diverse stakeholders.
The role offers the flexibility of remote work across multiple locations and the opportunity to work with cutting-edge technologies in the AI and data engineering space. You'll be part of a company that's actively shaping the future of AI implementation in business, working on challenging problems at scale.
This position is perfect for someone who combines technical expertise with a passion for innovation and the ability to tackle complex challenges in large-scale, production environments. The role provides an excellent opportunity to work with modern data technologies while contributing to meaningful AI transformations across various industries.