About this role

The Senior Data Engineer (VP) designs, develops, and supports enterprise-scale data platform capabilities using Airflow, dbt, Python, SQL, cloud-native technologies, and cloud data warehouse platforms to deliver scalable, reliable, and high-performance data solutions. The role focuses on building data pipelines, reusable frameworks, metadata-driven processing, data quality and governance capabilities, workflow orchestration, and platform automation, while leveraging emerging technologies such as Agentic AI to enhance engineering productivity and operational efficiency. Working closely with cross-functional teams, the engineer delivers end-to-end platform solutions, supports production operations, drives continuous improvements in platform performance and reliability, contributes to engineering best practices and platform modernization initiatives, and mentors junior engineers to foster technical excellence and continuous learning.

Responsibilities
- Actively participate in Agile ceremonies, including requirements refinement, sprint planning, effort estimation,



sprint reviews, and retrospectives, to support successful delivery of platform capabilities.
- Participate in technical design discussions, analyze requirements, and translate complex business needs into scalable data platform solutions.
- Design, develop, and optimize core enterprise data platform capabilities, including data acquisition, ingestion, transformation, workflow orchestration, and reusable processing frameworks, leveraging Python, SQL, cloud-native technologies, and cloud data warehouse platforms to support large-scale, high-performance data processing.
- Build and optimize large-scale data pipelines supporting data ingestion, transformation, validation, and distribution across enterprise cloud environments.
- Implement metadata-driven processing frameworks and reusable engineering patterns that improve automation, standardization, scalability, and reuse.
- Build and enhance plat

📌 VP - Senior Data Engineer (Python/Snowflake/Apache Airflow) (Mumbai)
🏢 BlackRock
📍 Mumbai