Iceberg, Doris, Trino

Infosys; Bengaluru; On-site; INR 3,500,000 - 5,200,000; Full time

Job summary

Infosys in Bengaluru is seeking a Senior Data Platform Lead to shape the lakehouse strategy, drive architecture across Iceberg, Doris, and Trino, and mentor engineering teams to deliver production-grade analytics platforms.

You will partner with data, analytics, and infra teams to set standards, optimize pipelines, and ensure scalable, reliable access to data for diverse workloads across the enterprise.

Qualifications

• BTECH, MTECH, MCA or MSc in Computer Science or related field.
• 8–12 years of experience in data engineering, data platform, or analytics infrastructure with leadership responsibilities.
• Hands-on expertise with Iceberg, Doris, and Trino in production environments.
• Strong experience with Spark for scalable data processing.
• Solid understanding of distributed systems, data storage formats, query optimization, and production troubleshooting.

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.

Skills

Iceberg

Trino

Doris

Spark

Distributed systems

Data modeling

Performance tuning

Leadership

Mentoring

Education

MCA

MSc

MTech

Bachelor of Engineering

BTech

Tools

Iceberg

Doris

Trino

Spark

Job description

Step into a high-impact data platform leadership role where youll shape how teams store, query, and serve analytics at scale. Youll 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, youll 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 youre 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.

Roles 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.
• 812 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 Requirement

• Iceberg, Doris, Trino

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

Educational Requirement

MCA,MSc,MTech,Bachelor of Engineering,BTech

Preferred Skills

Foundational->Development process generic->Big Data Analytics Process->Big Data,Technology->Cloud Platform->Azure Analytics Services->Azure Data Lake,Technology->Java->Apache

Service LineData Analytics Unit

Service LineData Analytics Unit