POD/SVS Engineering Lead / Associate Director, Data and Analytics Specialist

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 Associate Director, Data and Analytics Specialist.

In this role, you will:

• Own solution design and engineering execution from discovery through build, test, release and run.
• Translate business requirements into technical architecture, delivery plans, and measurable outcomes.
• Lead engineering standards for code quality, performance, reliability, observability, and cost efficiency.
• Design and optimize data models, schemas, and query patterns for analytical and operational workloads.
• Build and maintain data pipelines that are reliable, scalable, and auditable, apply strong SQL and database fundamentals (partitioning, indexing concepts, query optimization, data lineage).
• Build solutions using GCP services such as: BigQuery (data warehousing, optimization, governance patterns), PySpark, Python and Spark, Pub/Sub (event-driven ingestion and streaming patterns), Cloud Composer / Airflow (workflow orchestration, scheduling, dependency management)
• Nice to have exposure: Cloud Storage, Dataflow, Cloud Run/GKE, Secret Manager, IAM, Vertex AI.
• Implement CI/CD and infrastructure-as-code aligned to enterprise controls,define and implement data quality frameworks (completeness, accuracy, timeliness, consistency, uniqueness).
• Build automated reconciliation/balancing checks across sources and downstream outputs.

To be successful, you will:

• Strong engineering background with significant experience delivering data-intensive platforms/products.
• Deep SQL and data modelling expertise; strong understanding of data lifecycle and governance.
• Hands-on delivery experience on GCP, specifically PySpark, BigQuery, Pub/Sub, and Airflow/Composer.
• Proven experience implementing data quality controls, reconciliation, and operational monitoring.
• Strong software engineering fundamentals (Python/Java preferred), APIs, microservices, testing, CI/CD.
• Experience leading teams and owning delivery in complex, regulated environments.
• Delivery ownership across build, test, release and run in an enterprise environment.
• Working effectively with cross-functional stakeholders (Business, Markets, Technology, Digital).
• Operating within regulated environments with strong focus on controls, auditability and resilience.

You’ll achieve more when you join HSBC.

www.hsbc.com/careers

HSBC is an equal opportunity employer 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. We encourage applications from all suitably qualified persons irrespective of, but not limited to, their gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, color, national origin, veteran status, etc., We consider all applications based on merit and suitability to the role.”

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Issued by – HSBC Software Development India