Lead Python and Spark Data Engineer - Vice President
Citi (company site, opens in a new tab)PuneHybridDirect career pageEst. 35–60 LPA
Posted 13h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture, design, development, and maintenance of large-scale, secure data warehouse and data pipelines supporting reporting and integration for Futures and Derivatives Clearing platform.
- Own data models, metadata, data standards, and data governance frameworks enabling data accuracy, AI enablement, and regulatory compliance.
- Provide technical leadership and mentorship to engineering teams, driving best practices, CI/CD adoption, and collaboration with business and cross-functional teams.
Minimum Requirements
- Bachelor’s degree or equivalent in computer science, engineering, or math/statistics.
- Strong hands-on experience with Python, Spark, Java, Kafka, Airflow, and large database systems including Oracle, Snowflake, Databricks; familiarity with cloud-native techs like AWS and Docker.
- Experience leading data architecture and engineering in financial services, specifically trading data and futures/clearing business domain.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced technical leader with prior responsibility for end-to-end large-scale data platform delivery in complex matrixed financial services environment.
- Deep expertise in building scalable, distributed data pipelines and data warehouse architectures combining advanced data modeling, data quality, and security practices.
- Operates effectively with cross-functional teams including BAs and product managers, driving technical strategy and innovation in data engineering and AI enablement.