Pune · Executive
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Purpose of the role
To lead and manage engineering teams, providing technical guidance, mentorship, and support to ensure the delivery of high-quality software solutions, driving technical excellence, fostering a culture of innovation, and collaborating with cross-functional teams to align technical decisions with business objectives.
Accountabilities
Vice President Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Join us as a VP Engineering Practice at Barclays, innovation isn’t just encouraged; it’s expected. You will be required to have an experience in SOLD Simplification. It is a multiyear initiative to make the platform compliant to most valuable environment, hardware refresh and removing redundant functionalities. You will be required to lead the overall engineering & development of this initiative. You will be an Engineering Lead and required to coordinate & support requirement Discovery, initiative & delivery planning, roadmap and stakeholder management.
To be successful as a VP Engineering Practice, you should have experience with:
Leading large‑scale data engineering initiatives on modern cloud data platforms, delivering resilient, governed, and audit‑ready data products in regulated banking environments
Owning end‑to‑end data delivery across ingestion, transformation, quality, lineage, and consumption, with strong accountability for reliability, SLAs, and production stability
Driving adoption of standardized engineering practices (SDLC, CI/CD, controls, documentation) across multiple teams and portfolios within an enterprise data platform
Hands-on expertise of DBT, Databricks and Airflow
Experience in managing estates through Databricks with specific expertise in unity catalogue, Delta Lakes, Databricks DQ.
Partnering with Product, Risk, Technology Control, and Business stakeholders to shape data strategy and translate regulatory and business outcomes into scalable architectures
Exposure in Abinitio, Oracle and AWS technologies
Understanding of the Cards ecosystem
Some other highly valued skills may include:
Deep expertise in Python, SQL, and modern data engineering frameworks, with a track record of building and governing complex transformation pipelines at scale
Strong understanding of data quality, metadata, lineage, and observability, and the ability to institutionalize these as platform capabilities rather than team‑specific solutions.
Experience defining and enforcing engineering standards and architectural guardrails across lakehouse‑style or cloud‑native data platforms
Proven leadership in coaching senior engineers, influencing across tribes, and driving engineering excellence in a federated enterprise model
You may be assessed on the key critical skills relevant for success in role, such as risk and controls, change and transformation, business acumen strategic thinking and digital and technology, as well as job-specific technical skills.
This role is based in our Pune office.
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