AVP Process Data Engineer

About the Role

Join Barclays as an AVP Process Data Engineer to spearhead the evolution of our digital landscape and drive innovation. You will harness cutting-edge technology to revolutionize digital offerings and ensure unapparelled customer experiences.

Purpose of the Role

To develop, implement, and maintain effective governance frameworks for all data and records across the bank's global operations.

Key Responsibilities

• Development and maintenance of a comprehensive data and records governance framework aligned with regulatory requirements and industry standards.
• Monitoring data quality and records metrics and compliance with standards across the organization.
• Identification and addressing of data and records management risks and gaps.
• Development and implementation of a records management program that ensures the proper identification, classification, storage, retention, retrieval, and disposal of records.
• Development and implementation of a data governance strategy that aligns with the bank's overall data management strategy and business objectives.
• Provision of Group-wide guidance and training on Data and Records Management standard requirements.
• Advise and influence decision-making, contribute to policy development, and take responsibility for operational effectiveness.
• Collaborate closely with other functions/business divisions.
• Lead a team performing complex tasks, using well-developed professional knowledge and skills to deliver on work that impacts the whole business function.
• Set objectives and coach employees in pursuit of those objectives, appraise performance relative to objectives, and determine reward outcomes.
• Consult on complex issues, providing advice to People Leaders to support the resolution of escalated issues.
• Identify ways to mitigate risk and develop new policies/procedures in support of the control and governance agenda.
• Take ownership for managing risk and strengthening controls in relation to the work done.
• Perform work that is closely related to that of other areas, requiring an understanding of how areas coordinate and contribute to organizational objectives.
• Collaborate with other areas of work for business-aligned support to stay updated with business activity and strategy.
• Engage in complex analysis of data from multiple internal and external sources to solve problems creatively and effectively.
• Communicate complex information.
• Influence or convince stakeholders to achieve outcomes.

Requirements & Tech Stack

• Building and maintaining data pipelines and curated datasets for reporting and insight generation.
• ETL tooling such as Alteryx, Glue, DBT or equivalent platforms.
• Hands-on delivery of visualization tools and reporting solutions, including Tableau or equivalent tooling.
• Requirements documentation and clear communication, with the ability to work independently with stakeholders.

Desirable Skills / Good To Have

• Cloud data engineering experience, including AWS services and modern data ecosystem components (e.g., Snowflake).
• Strong SQL and data modelling capability, including experience of managing and operating SQL databases.
• Hands-on experience with Python, PySpark/Apache Spark, Jenkins, and CI/CD pipeline, with strong knowledge of DevOps best practices.
• Data orchestration and workflow tooling, together with modern lake and lakehouse patterns.
• Exposure to process modelling tools and methods, including IBM Blueworks Live or BPMN-based tooling.

Qualifications

• Experience with data reporting.
• Job-specific skillsets relevant for success in the role.

Location: Pune