Lead, Data Engineer
Northern Trust (company site, opens in a new tab)7+ yrsPuneOn-siteDirect career pageEst. 28–42 LPA
Posted 20h ago
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Job description
Structured overview of role & requirements
About This Role
- Design, build, and optimize scalable enterprise data platforms using Snowflake and Microsoft Azure, including ETL/ELT pipelines and cloud data warehouses/lakes.
- Lead technical implementation of cloud-native data solutions leveraging Python, Airflow/Astronomer, Snowflake advanced capabilities, and Azure services.
- Drive platform reliability, operational excellence, architecture governance, and establish engineering best practices and standards.
Minimum Requirements
- Bachelor's or master's degree in computer science, engineering, information systems, or related field.
- 7+ years experience in Data Engineering, Data Platform Engineering, or Data Warehousing.
- 5+ years hands-on experience with Snowflake and strong expertise in Python and advanced SQL.
- Experience with Airflow/Astronomer, building cloud-native solutions on Microsoft Azure, and understanding of data modeling, data warehousing, ELT/ETL frameworks, distributed systems, and CI/CD.
Ideal Candidate Profile
- Senior individual contributor capable of leading technical initiatives with significant influence on platform architecture and cloud modernization.
- Proven ability to collaborate across architects, product owners, analytics teams, and business stakeholders to deliver scalable, secure data platforms.
- Strong operational focus on reliability, performance optimization, cost-efficiency, and governance within financial or related data domains.