Staff Data Platform Engineer

OXIO is seeking a Staff Data Platform Engineer to lead the design, development, and scaling of their modern data platform. The ideal candidate will have 15+ years of experience in software engineering with a strong focus on data systems and platform architecture.

Requirements

• 15+ years of experience in software engineering with a strong focus on data systems and platform architecture
• 10+ years of experience building data solutions using data lakehouse architectures and self-serve data platforms
• 10+ years of hands-on programming experience with Scala, Go, Python, and SQL
• 5+ years of experience building scalable data solutions using Python, Spark, and Terraform
• Proven experience building serverless and scalable ML infrastructure
• Deep expertise in cloud-native data stacks (AWS, Databricks, Snowflake, BigQuery, Synapse)
• Strong understanding of microservices architecture, event-driven systems (Kafka), and container orchestration (Kubernetes)
• Experience building operational tools and defining best practices to improve operational efficiency and developer experience
• Experience with orchestration tools like Airflow or Prefect and transformation tools like DBT
• Proficient in building and scaling APIs (REST/gRPC) for data access and activation
• Familiarity with front-end technologies and frameworks (e.g., React)
• Strong grasp of data governance, compliance frameworks, and secure data sharing practices
• Experience applying AI/ML and LLMs to data products and predictive analytics
• Exceptional communication and leadership skills in fast-paced environments

Benefits

• Competitive salary and stock option incentive program
• Company paid healthcare
• Flexible work arrangements
• Company sponsored team-lunches and company retreats
• International organization with opportunities for travel and work across boundaries