Senior Platform Engineer – Vice President
Barclays · Pune · Posted 2026-07-18
Tech stack: AWS, Java, Kubernetes, Python
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About the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Responsibilities:
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientist to build and deploy machine learning models.
Qualifications:
- Proven experience in software/data engineering; ideally in platform or infra roles.
- Strong programming skills in Python; familiarity with Java is a plus.
- Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, Api Gateway, Step Functions, MSK, Cloudformation etc.).
- Passion for being hands-on while also enabling and growing a small engineering team.
- Experience with on-prem Hadoop and Kubernetes.
- Familiarity with cost management and optimization tools, organizational constructs in AWS.
- Knowledge of how quantitative or front-office developers operate is a strong plus.
- 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 will be based in our Pune, India office.
Qualifications
- Proven experience in software/data engineering; ideally in platform or infra roles.
- Strong programming skills in Python; familiarity with Java is a plus.
- Deep experience with AWS services (S3, Glue, Kinesis, Lambda, ECS, IAM, KMS, Api Gateway, Step Functions, MSK, Cloudformation etc.).
- Passion for being hands-on while also enabling and growing a small engineering team.
- Experience with on-prem Hadoop and Kubernetes.
- Familiarity with cost management and optimization tools, organizational constructs in AWS.
- Knowledge of how quantitative or front-office developers operate is a strong plus.
- 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 will be based in our Pune, India office.
Responsibilities
- Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data.
- Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures.
- Development of processing and analysis algorithms fit for the intended data complexity and volumes.
- Collaboration with data scientist to build and deploy machine learning models.