
Big Data Architect
1 week ago
We are seeking a highly skilled Big Data Architect to lead the design and implementation of our data engineering systems. As a key member of our team, you will be responsible for architecting and building scalable systems using lakehouse architectures (Apache Iceberg, Delta Lake) to unify data lakes and warehouses.
Key Responsibilities:
- Develop and optimize streaming pipelines using Kafka, Pulsar, and Flink to process structured/unstructured data with low latency.
- Leverage Java to build scalable, high-throughput data applications and services.
- Use modern data warehouses and query engines (Trino, Spark) for sub-second operations and analytics on real-time data.
- Work with RDBMS (PostgreSQL, MySQL, SQL Server) and NoSQL (Cassandra, MongoDB) systems to manage diverse data workloads.
- Ensure data integrity, security, and compliance across multi-tenant systems.
- Manage production infrastructure for reliability, scalability, and cost efficiency.
- Stay ahead of trends in the data ecosystem to drive technical excellence.
- Build and maintain Web APIs (REST/GraphQL) to expose data services internally and externally.
Required Skills and Qualifications:
- 8+ years of data engineering experience with large-scale systems (petabyte-level).
- Expert proficiency in Java for data-intensive applications.
- Hands-on experience with lakehouse architectures, stream processing (Flink), and event streaming (Kafka/Pulsar).
- Strong SQL skills and familiarity with RDBMS/NoSQL databases.
- Proven track record in optimizing query engines (e.g., Spark, Presto) and data pipelines.
- Knowledge of data governance, security frameworks, and multi-tenant systems.
- Experience with cloud platforms (AWS, GCP, Azure) and infrastructure-as-code (Terraform).
What We Offer:
- A competitive salary and benefits package.
- The opportunity to work with a talented team of professionals.
- A dynamic and supportive work environment.
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