Data Engineering Lead / Senior Associate Director, Data and Analytics

hackajob is collaborating with HSBC to connect them with exceptional professionals for this role. Some careers shine brighter than others.

If you’re looking for a career that will help you stand out, join HSBC and fulfil your potential. Whether you want a career that could take you to the top, or simply take you in an exciting new direction, HSBC offers opportunities, support and rewards that will take you further.

HSBC is one of the largest banking and financial services organisations in the world, with operations in 64 countries and territories. We aim to be where the growth is, enabling businesses to thrive and economies to prosper, and, ultimately, helping people to fulfil their hopes and realise their ambitions.

We are currently seeking an experienced professional to join our team in the role of Sr. Associate Director, Data and Analytics

In This Role, You Will

• Lead design reviews; make clear trade-offs across resilience, performance, cost, and time-to-market.
• Drive engineering excellence: CI/CD, automated testing, code quality, and release governance.
• Leads by doing (not managing): guides engineers/teams through complexity and raises engineering standards through day-to-day actions.
• Strong engineering fundamentals with a continuous improvement mindset; willing to learn the best tool/language for the problem.
• Define reference architectures and reusable patterns for ingestion, transformation, and serving on GCP.
• Modern delivery and operations experience: end-to-end ownership, continuous delivery/DevOps practices, and use of operational metrics (e.g., DORA).
• Broad engineering exposure across platform/infrastructure/function-as-a-service, plus agile values-based delivery.
• AI/ML technology evolution focus: stays current on applied Artificial Intelligence (including Generative AI) and identifies practical opportunities to embed AI into data and engineering workflows (e.g., intelligent automation, improved observability, developer productivity), while maintaining engineering quality.

To be successful in this role, you should meet the following requirements:

• 10+ years of experience in relevant technologies.
• Data Engineering (Python, Dataflow, Pub/Sub, BigQuery, Hadoop, NiFi/Kafka, RDBMS), Cloud SQL,
• Good understanding on GCP console, BQ/GCS/Git, Jenkins, Airflow, Pub/Sub/Kafka, CI/CD
• Practical experience with Vertex AI (preferred) or equivalent managed LLM services, including deploying/consuming endpoints.

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

HSBC is committed to building a culture where all employees are valued, respected and opinions count. We take pride in providing a workplace that fosters continuous professional development, flexible working and opportunities to grow within an inclusive and diverse environment. Personal data held by the Bank relating to employment applications will be used in accordance with our Privacy Statement, which is available on our website.

Issued by – HSBC Software Development India