
Chief Data Architect
2 weeks ago
Key Responsibilities:
- Design and develop large-scale data lakehouse architectures using Apache Iceberg and Delta Lake.
- Create high-performance streaming pipelines with Kafka, Pulsar, and Flink to process structured and unstructured data.
- Develop scalable data applications and services in Java for real-time analytics.
- Utilize modern data warehouses and query engines like Trino and Spark for sub-second operations.
- Manage diverse data workloads across RDBMS systems like PostgreSQL, MySQL, and SQL Server as well as NoSQL systems like Cassandra and MongoDB.
- Ensure data integrity, security, and compliance in multi-tenant systems.
- Optimize production infrastructure for reliability, scalability, and cost efficiency.
- Stay up-to-date with the latest trends in data engineering to drive technical excellence.
Requirements:
- 8+ years of experience in data engineering with large-scale systems.
- Expert proficiency in Java for data-intensive applications.
- Hands-on experience with lakehouse architectures, stream processing, and event streaming.
- Strong SQL skills and familiarity with RDBMS/NoSQL databases.
- Proven track record in optimizing query engines and data pipelines.
- Knowledge of data governance, security frameworks, and multi-tenant systems.
- Experience with cloud platforms and infrastructure-as-code.
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