Principal Data Engineer – Real-time Data Platform
Algoworks (company site, opens in a new tab)10+ yrsRemoteDirect career pageEst. 30–50 LPA
Posted on 10 Sept
Reach people at Algoworks
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Algoworks you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- 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 Requirements
- 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).
Ideal Candidate Profile
- 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.