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Job Description
Job Description:
- Step into a high impact data platform leadership role where you ll shape how teams store query and serve analytics at scale
- You ll lead the design and evolution of a modern lakehouse ecosystem powered by Iceberg Doris and Trino enabling fast reliable insights across diverse workloads
- Working closely with data engineering analytics and infrastructure teams you ll drive technical decisions establish best practices and mentor engineers to deliver production grade solutions
- This role is ideal for someone who enjoys solving complex performance and reliability challenges building scalable architectures and turning data into a trusted product for the business
- If you re excited about modern table formats distributed query engines and collaborative engineering culture this is your chance to lead from the front and make a measurable difference
Key Responsibilities:
- Key Responsibilities
- Lead architecture and implementation of lakehouse solutions using Iceberg for table management governance and scalable storage patterns
- Design and optimize distributed query workloads using Trino including catalog configuration connector strategy and query performance tuning
- Build and operate high performance analytics serving layers using Doris focusing on ingestion patterns schema design and workload isolation
- Drive end to end data pipeline execution leveraging Spark for batch processing transformations and data quality enforcement
- Establish standards for data modeling partitioning compaction file sizing and lifecycle management to improve cost and performance
- Own production readiness monitoring alerting incident response root cause analysis and continuous performance improvements across the stack
- Collaborate with stakeholders to translate analytical needs into scalable technical designs delivery plans and measurable outcomes
- Mentor engineers conduct design code reviews and guide best practices for reliability maintainability and secure data access
- Minimum Qualifications
- BTECH MTECH MCA or MSC in Computer Science Engineering or a related field
- 8 12 years of experience in data engineering data platform or analytics infrastructure roles with leadership ownership responsibilities
- Strong hands on expertise with Iceberg Doris and Trino in production environments including performance tuning and operational support
- Strong experience with Spark for scalable data processing and pipeline development
- Solid understanding of distributed systems data storage formats query optimization and production troubleshooting practices
Technical Requirements:
- Iceberg Doris Trino
Additional Responsibilities:
- Preferred Qualifications
- Proven experience designing lakehouse architectures including table layout strategies compaction approaches and multi engine interoperability
- Advanced Trino optimization experience query plans statistics resource groups connector tuning for high concurrency and large datasets
- Strong Doris operational expertise including ingestion optimization indexing strategy and workload management for BI analytics use cases
- Experience strengthening platform reliability through observability capacity planning and performance benchmarking
- Ability to lead cross team technical initiatives influence architecture decisions and communicate trade offs clearly to technical and non technical stakeholders