VP - Data Engineering Lead - IDL Technology
Barclays (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 45–80 LPA
Posted on 3 Sept
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Job description
Structured overview of role & requirements
About This Role
- Build and maintain data architectures including pipelines, warehouses, and lakes to ensure accurate, accessible, and secure data.
- Design and implement data processing and analysis algorithms suitable for data complexity and volume, supporting machine learning collaboration.
- Contribute to or set strategy, manage resources and policies, and provide leadership or subject matter expertise to influence operations aligned with corporate goals.
Minimum Requirements
- Work Experience Required: Not explicitly mentioned in the JD.
- Experience with building and maintaining data pipelines, data warehouses, and data lakes.
- Proven knowledge of data security measures and data processing/analysis algorithms.
- Capability to collaborate with data scientists on machine learning model development.
Ideal Candidate Profile
- Senior-level experience with strategic planning and resource management in data engineering contexts.
- Able to lead multidisciplinary teams or act as a subject matter expert guiding technical direction and long-term assignments.
- Strong stakeholder management skills, including advising senior management and managing risk and governance.