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Job Description
Structured overview of role & requirementsAbout This Role
Lead enterprise data engineering strategy and define architecture standards for scalable, cloud-native data platforms using PySpark, Snowflake, Kafka, and Databricks.
Establish governance frameworks, data quality, workflow orchestration, and operational excellence standards across data engineering teams.
Partner with business stakeholders to translate objectives into data platform capabilities, drive adoption of AI-assisted engineering practices, and lead architecture reviews to ensure performance and reliability.
Minimum Requirements
8-10 years of experience in data engineering or related roles.
Mandatory skills: Python, PySpark, SQL, Apache Kafka, Snowflake, Databricks Workflows.
Location requirement: Must be based in or willing to work at Noida, UP, India.
Work Experience Required: 8-10 years as explicitly mentioned in JD.
Ideal Candidate Profile
Experienced leader capable of driving enterprise-wide data engineering standards and strategies in complex data platform environments.
Strong strategic thinker able to balance scalability, reliability, and performance while addressing business priorities and technical risks.
Proficient in modern data architectures including Lakehouse platforms, event-driven streaming, and AI-ready data strategies, suited for organizations focusing on analytics and AI initiatives.