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Remote senior data engineer title but niche Databricks/CDC skills yield moderate applicant competition.
Requires niche Databricks, Debezium and Azure Event Hubs expertise, reducing cross-industry transferability.
Explicit 10+ years plus mandatory Databricks, CDC and streaming production experience enforce strict filters.
Lead architecture and implementation of batch, full-load, incremental, and real-time CDC data ingestion pipelines at scale.
Design and optimize high-volume event-driven pipelines using SQL Server CDC, Debezium, Azure Event Hubs, Databricks, and Delta Lake for performance, scalability, and reliability.
Provide technical leadership including mentoring engineers, driving best practices, and scaling ingestion across multiple clients and large data volumes.
10+ years of Data Engineering or Software Engineering experience.
3+ years of production experience with CDC or real-time streaming architectures.
Strong hands-on experience with Databricks, Delta Lake, SQL Server CDC, Debezium, Azure Event Hubs.
Bachelor’s or master’s degree in Computer Science, IT, Business, or related field (or equivalent practical experience).
Experienced technical leader who combines hands-on data engineering with architecture and mentoring skills.
Deep expertise in building and scaling multi-client, multi-tenant ingestion pipelines processing millions to billions of records.
Proficient in designing fault-tolerant, idempotent, and observable pipelines handling schema drift and evolution in large distributed data environments.