Data Engineer - Lead
Iris Software (company site, opens in a new tab)NoidaOn-siteDirect career pageEst. 18–30 LPA
Posted 1d ago
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Job description
Structured overview of role & requirements
About This Role
- Define and lead enterprise data engineering strategy and governance aligned with business objectives and data modernization.
- Own design and standards for large-scale data platforms using PySpark, Delta Lake, Databricks, Apache Kafka, and streaming architectures supporting analytics and AI initiatives.
- Drive architecture reviews, identify risks/scalability issues, and guide data engineering teams on best practices to ensure platform reliability, performance, and operational excellence.
Minimum Requirements
- Mandatory skills: PySpark, Delta Lake on Databricks, Databricks Workflows, Apache Kafka.
- Experience with modern data platform technologies including Snowflake, Apache Airflow, Amazon Kinesis is preferred but not explicitly required.
- Work Experience Required: Not explicitly mentioned in the JD.
- Location: Noida, UP, India.
Ideal Candidate Profile
- Experienced data engineering leader with strong expertise in enterprise-scale data processing and modern data platform architecture.
- Comfortable defining and enforcing data governance, quality frameworks, and scalable cloud-native data ecosystems for analytics and AI readiness.
- Skilled in collaborating across teams and stakeholders to align technical data strategies with organizational goals and drive continuous platform maturity improvements.