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Medium competition: remote role but senior level and niche Databricks/CDC skills limit applicant pool.
High because specialized Databricks, CDC, and real-time streaming expertise is strongly domain-specific.
High due to explicit 10+ years requirement and mandatory Databricks, CDC, Debezium, and Azure Event Hubs experience.
Own the architecture and implementation of high-volume batch and real-time CDC data ingestion pipelines using Databricks, SQL Server CDC, Debezium, and Azure Event Hubs.
Lead scalability and performance optimization efforts for ingestion pipelines processing millions to billions of records in multi-tenant environments.
Provide technical leadership including mentoring, code reviews, and establishing best engineering practices to ensure data integrity, resiliency, and observability.
Minimum 10 years of Data Engineering or Software Engineering experience.
Hands-on experience with Databricks, Delta Lake, SQL Server CDC, Debezium, and Azure Event Hubs in production-scale environments.
Experience designing and operating scalable real-time streaming and CDC pipelines processing very high data volumes.
Bachelor's or Master's degree in Computer Science, IT, Business, or related field (or equivalent practical experience).
Deep expertise in building and scaling enterprise CDC and batch ingestion pipelines with strong focus on pipeline recovery, error handling, and schema evolution.
Experience working with multi-client / multi-tenant ingestion architectures and implementing Medallion (Bronze-Silver-Gold) data patterns.
Demonstrated ability to lead technical teams with hands-on support, driving performance improvements and pipeline reliability in distributed data processing environments.