What qualifications we’re looking for:
-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
-Solid foundation in data governance and performance optimization, ensuring reliability and scalability across batch and streaming environments
-Proven experience with Lakehouse architectures and related technologies, including Apache Hudi, Azure ADLS Gen2, HDFS, and other big data technologies (Trino, Databricks, Spark)
-Strong collaboration and communication skills, with the ability to influence stakeholders and evangelize modern data practices within your team and organization.