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Senior Data Platform Engineer

AI-first advisory and digital engineering firm helping clients transform business through strategic advisory, data and platform engineering, and AI integration services.
PolandColombiaArgentina
Data
Senior Software Engineer
Remote
5+ years of experience
AI · Enterprise SaaS

Description For Senior Data Platform Engineer

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.

Last updated 24 days ago

Responsibilities For Senior Data Platform Engineer

  • Build and fine-tune data clusters to support both batch and streaming workloads
  • Build and expand ecosystems (Spark, Hadoop, Kubernetes, Trino, Delta Lake, and Druid)
  • Introduce and scale new data platform solutions
  • Work closely with cross-functional teams to align platform capabilities with organizational goals

Requirements For Senior Data Platform Engineer

Kubernetes
  • Proven experience in scaling and tuning large deployments of Spark-on-Kubernetes and Spark-on-Hadoop
  • Knowledge of open-source S3 alternatives, including Ceph and MinIO
  • In-depth understanding of Hadoop and the HDFS protocol
  • Skilled in designing and optimizing shuffle-heavy systems
  • Hands-on experience with lakehouse file formats (Delta Lake, Apache Iceberg, or Apache Hudi)
  • Familiarity with OLAP technologies
  • Strong communication skills
  • Proven track record of troubleshooting in large-scale production environments

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