Senior Data Engineering Lead
Experian (company site, opens in a new tab)10+ yrsHyderabadHybridDirect career pageEst. 35–55 LPA
Posted on 1 Sept
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Job description
Structured overview of role & requirements
About This Role
- Lead design and delivery of scalable batch and streaming data platforms supporting analytics, reporting, and AI use cases.
- Manage and mentor multidisciplinary teams (Data Engineering, Platform Engineering, DevOps) while establishing engineering standards, reusable frameworks, and delivery roadmaps.
- Drive cloud platform modernization on AWS focusing on reliable data pipelines with strong governance, observability, security, and compliance for trusted data products.
Minimum Requirements
- 10+ years in Data Engineering, Software Engineering, or Platform Engineering with leadership experience.
- Proven experience with large-scale batch and streaming data platforms using Apache Spark, Kafka, Kinesis, Flink or equivalents.
- Strong expertise in AWS cloud services covering data, compute, orchestration, and infrastructure.
- Experience with modern data lake, warehouse, or lakehouse technologies such as Snowflake, Databricks, Redshift, Athena, Iceberg, or Delta Lake.
Ideal Candidate Profile
- Experienced engineering leader capable of managing and scaling multidisciplinary teams in a cloud environment.
- Deep technical background in operating and modernizing data platforms with a strong focus on AWS and real-time data pipelines.
- Capable of collaborating cross-functionally with Product, Architecture, Governance, and Business stakeholders to align technical delivery with business goals.