
Leading Data Architect
1 week ago
Job Overview
We are seeking a seasoned Senior Data Architect to lead the design and implementation of our petabyte-scale lakehouse architectures using Apache Iceberg, Delta Lake. This individual will be responsible for developing and optimizing streaming pipelines using Kafka, Pulsar and Flink to process structured/unstructured data with low latency.
Key Responsibilities:
- Design and implement lakehouse architectures to unify data lakes and warehouses.
- Develop scalable, high-throughput data applications and services using Java.
- Use modern data warehouses and query engines like Trino, Spark for sub-second operations and analytics on real-time data.
- Manage diverse data workloads across RDBMS systems like PostgreSQL, MySQL, SQL Server and NoSQL systems like Cassandra, MongoDB.
- Ensure data integrity, security, and compliance across multi-tenant systems.
- Stay ahead of trends in the data ecosystem to drive technical excellence.
Required Skills and Qualifications
- 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 like AWS, GCP and Azure and infrastructure-as-code like Terraform.
Benefits
- Collaborative team environment.
- Opportunities for growth and professional development.
- Competitive salary and benefits package.
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