Lead Python and Spark Data Engineer - Vice President
Citi (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 35–55 LPA
Posted 7h ago
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Job description
Structured overview of role & requirements
About This Role
- Lead architecture, design, development, and maintenance of scalable and secure enterprise data warehouse and data pipelines supporting Futures and Derivatives Clearing business reporting and data integration.
- Own data models, taxonomies, metadata, and data governance frameworks to ensure data accuracy, compliance, and enable downstream applications including AI use cases.
- Provide strong leadership to engineering teams, mentoring members, enforcing best practices, managing agile scrum delivery, and collaborating with stakeholders to deliver technical solutions.
Minimum Requirements
- Bachelor’s degree or equivalent in computer science, engineering, math/statistics.
- Strong hands-on experience with data pipelines and integration using Python, Spark, Java, Kafka, Airflow, and large-scale databases (Oracle, Snowflake, Databricks).
- Experience in financial services domain with a strong understanding of trading data and Futures and Clearing.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced data architect/engineer with proven ability to lead design and delivery of complex, large-scale data warehouses and pipelines in complex, matrixed organizations.
- Strong operational ownership mindset including CI/CD, DevOps, testing frameworks and data quality monitoring for production stability.
- Comfortable working cross-functionally with business analysts, stakeholders, product managers, and multiple technology teams to shape technical strategy and delivery.