Purpose of the role
To manage change projects that help the organisation achieve its strategic objectives, while ensuring that projects are delivered on time, within budget, in control and in compliance with regulatory requirements and internal policies and procedures.
Accountabilities
Assistant 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 "Senior Platform Engineer" at Barclays, where you'll spearhead the evolution of our digital landscape, driving innovation and excellence. You'll harness cutting-edge technology to revolutionise our digital offerings, ensuring unapparelled customer experiences.
You may be assessed on the key critical skills relevant for success in role, such as experience with Senior Platform Engineer, as well as job-specific skillsets.
To be successful as a "Senior Platform Engineer", you should have experience with:
Basic/ Essential Qualifications:
Providing technical leadership in Cloud Environments (like AWS, Azure) across our Product Stack and contributes to open-source Big Data technologies.
Where applicable writing Data Pipelines, workflows, and data structures.
Adapting quickly to change in requirements and be willing to work with different technologies if required.
Leading the effort to build, implement and support the data infrastructure in Cloud.
Mentor and guide the team, prioritize Data Platform projects according to business needs, and develops top-quality data products using industry best practices.
Managing team of Data Platform engineers (both full-time engineers and/or partners)
Owning deliverables for the Data and Analytics Platform team from a delivery perspective
Leading in deployment, testing activities with hands on engineering and automation experience including CI/CD/CD and DataOps mindset
Reviewing technical designs and providing feedback
Designing and building end-to-end data solutions for analytics in AWS/Azure
Strengthening data quality and reliability through code
Improving data lineage and governance by tagging through code
Progressing standards and best practices for the platform and operational excellence
Apply best practices and ways of working among our global Data Platform engineering team.
Write clean code that can be easily understood by others.
Desirable skillsets/ good to have:
Hands-on in scripting languages, Java, Python, RDBMS (Oracle/MySQL/Postgres).
Cloud Concepts and hands-on experience with Public Cloud Providers such as AWS, Azure, GCP
Overall experience of 8-12 years, majority of it in the Data Platform Space.
Minimum 2 years of experience in managing one of GCP / AWS / Azure environment is a must.
Minimum 2 years of experience architecting, designing, developing, and implementing cloud solutions on one of GCP / AWS / Azure platforms.
Good cloud infrastructure technical knowledge including cloud security, cloud formation templates and cost optimization.
Knowledge of information technology infrastructure domains such as compute server platforms, storage server platforms, server components, network devices, technologies and architectures, IT service delivery principles and best practices
Familiarity with compliance & security standards across the enterprise IT landscape
Experience using DevOps tools in a cloud environment, such as Ansible, Artifactory, Docker, GitHub, Jenkins, Kubernetes, Maven, and Sonar Qube
Hands on experience in the following Cloud services is mandatory – AWS S3, Glue, LakeFormation, EC2, EKS, ECS.
This role will be based out of Pune.