Technical Delivery Lead

Technical Delivery Lead

Embark upon a transformative journey as a Technical Delivery Lead. At Barclays, we don't just embrace change – we drive it. As a Technical Delivery Lead, you will 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.

To be a successful Technical Delivery Lead, you should have experience with:

• Proven experience in leading, designing and implementing python models using a model execution platform/application (eg: Databricks) in public cloud environment, ensuring it leverages the latest technologies and best practices. Deep functional knowledge in Finance and Risk Models. (eg: Impairments, RWA, Climate Risk, Stress Testing, etc)
• Expertise on end-to-end Model Life Cycle delivery including Model Monitoring and technology governance around Model Integration. Strong proficiently in Data Integration tools such as Starburst/AWS Glue and AWS Lambda Step functions. Hands on experience on Data Analytics platform to deliver IT controlled data wrangling and model execution solutions. Hands on experience in one or more core technologies - Python, Spring Boot based Java API programming, Unix Shell Scripting and BI/Visualization tools.
• Knowledge and experience to drive Engineering Excellence best practices and drive results - Lead Time, Code Coverage, Deployment Frequency, MTTR (Mean Time to Recovery), Throughput. Excellent analytical and problem-solving skills, with the ability to troubleshoot and resolve complex technical issues.
• Communication skills - Collaboration with business partners, product managers, designers, and other stakeholders to translate business requirements into technical solutions and ensure a cohesive approach to product development

Additional relevant skills given below are highly valued:

• Knowledge of data engineering and big data technologies such as Databricks, AWS Glue/Athena/S3, Spark. Familiarity with DevOps practices and tools (e.g., Jenkins, Gitlab, Gitlab Duo, Claude).
• Familiarity with Test Automation Framework and usage in a product environment. Machine learning Models and associated technologies such as Databricks ML workflow.

You may be assessed on 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 Chennai.