Principal Software Data Engineer

📋 Description

• Lead and guide the design and implementation of scalable distributed systems based on Java microservices
• Engineer and optimize data pipelines using solutions like Apache Hudi, Apache Trino, Azure ADLS
• Collaborate cross-functionally with product, analytics, and AI teams to ensure data is a strategic asset
• Advance ongoing modernization efforts, deepening adoption of event-driven architectures and cloud-native technologies
• Drive adoption of best practices in data governance, observability, and performance tuning for data workloads
• Embed data quality in processing pipelines by defining schema contracts, implementing transformation tests and data assertions, enforcing backward-compatible schema evolution, and automating checks for freshness, completeness, and accuracy across batch and streaming paths before production deployment

🎯 Requirements

• Principal Software Data Engineer with at least 10 years of professional experience in software or data engineering, including a minimum of 4 years focused on data pipelines (batch and streaming)
• Proven experience driving technical direction and mentoring engineers while delivering complex, high-scale solutions as a hands-on contributor
• Strong understanding of event-driven architectures and distributed systems, with hands-on experience implementing resilient, low-latency pipelines
• Practical experience with cloud platforms (AWS, Azure, or GCP) and containerized deployments for data workloads
• Fluency in data quality practices and CI/CD integration, including schema management, automated testing, and validation frameworks (e.g., dbt, Great Expectations)
• Operational excellence in observability, with experience implementing metrics, logging, tracing, and alerting for data pipelines using modern tools

🎁 Benefits

• Benefits starting from Day 1
• Retirement Plan Matching
• Flexible Paid Time Off
• Wellness Support Programs and Resources
• Parental & Caregiver Leaves
• Fertility & Adoption Support