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