Senior Engineer, Data Platform
Bangalore · Bangalore, IND · 7+ years experience · Posted Sep 28, 2026
At a glance
- Experience
- 7+ years experience
- Location
- Bangalore · Bangalore, IND
About the role
- The Senior Data Platform Engineer builds and operates the data infrastructure supporting Zeta’s products, analytics, machine learning, and AI systems.
- This role involves taking ownership across Lakehouse architecture, distributed compute, data quality, governance, lineage, security, and access controls.
Responsibilities
- Build and operate Lakehouse, Spark, and distributed data-processing systems.
- Improve the performance, reliability, cost, and operational visibility of platform workloads.
- Develop capabilities for data quality, governance, lineage, metadata, discoverability, security, and access control.
- Build the data context required for trusted reporting, ML models, and AI agents.
- Evaluate compute and query engines for read-heavy workloads, assessing cost, performance, reliability, and operational fit.
- Assess real-time OLAP technologies and identify appropriate production use cases.
- Improve deployment, observability, incident response, developer tooling, and platform operations.
- Partner with data scientists and data engineers to improve their experience using the platform.
- Contribute fixes and improvements to relevant open-source projects, including Spark, Iceberg, and Airflow.
- Mentor engineers through code reviews, pairing, design discussions, and knowledge-sharing sessions.
Requirements
- 7+ years of software engineering experience.
- Strong experience in Python, Scala, Java, or another JVM language.
- Experience with Spark or another distributed data-processing framework.
- Experience building or operating production data platforms, backend systems, or distributed systems.
- Familiarity with at least 1 of these areas: Lakehouse architecture, Apache Iceberg, data quality, governance, lineage, metadata, query engines, or real-time OLAP.
- Working knowledge of AWS services such as EC2, S3, Athena, and IAM.
- Experience improving production reliability through monitoring, alerting, deployment automation, and incident response.
- Strong analytical, communication, and collaboration skills.
Preferred qualifications
- Kubernetes
- Terraform
- Airflow
- Trino
- ClickHouse
- Starrocks
- Pinot
Skills
- Python
- Scala
- Java
- Spark
- AWS
- EC2
- S3
- Athena
- IAM
- Kubernetes
- Terraform
- Airflow
Show all 15 skills
- Trino
- ClickHouse
- Iceberg
