VP - Data Engineering - Asset Management
M&G plc (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 40–70 LPA
Posted 15h ago
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Job description
Structured overview of role & requirements
About This Role
- Own the end-to-end design, build, optimization, and operational stability of data pipelines and platforms using Snowflake and Azure technologies with focus on ingestion, curation, and serving layers.
- Lead and develop the data engineering team, enforcing engineering standards, managing delivery across multiple workstreams, and driving adoption of DataOps and automation practices to improve velocity and reduce errors.
- Shape and evolve the Asset Management data platform’s architecture, technology roadmap, and engineering strategy in coordination with UK leadership, ensuring security, resilience, compliance, and data product-oriented delivery.
Minimum Requirements
- Proven hands-on expertise with Snowflake for data storage, query tuning, and platform performance optimization.
- Experience with Azure data services including Azure SQL, Azure Data Lake Storage, Azure Data Factory, and Azure Databricks.
- Demonstrable leadership experience managing data engineering teams, including recruitment, coaching, and delivery management.
- Work Experience Required: Not explicitly mentioned in the JD
Ideal Candidate Profile
- Strategic operator capable of balancing deep hands-on technical involvement with leadership and delivery management responsibilities in a complex global data platform environment.
- Experienced in implementing DataOps, CI/CD, and automation to scale data engineering teams and platform capabilities.
- Familiar with data mesh and data product paradigms, embedding data quality, metadata, lineage, security, and compliance in engineering solutions.