Data Engineering / Sr. Associate Director, Software Engineering

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

In this role, you will:

• Define and evolve the technical direction for Static and Product Reference Data, aligned to HSBC’s Data Strategy and target architecture.
• Set and govern engineering principles for reference data services (modelling, versioning, lineage, interoperability, and backwards compatibility).
• Drive AI-enabled engineering practices to improve quality, developer productivity, and time-to-market.
• Lead modernisation and technical debt reduction, prioritising changes that simplify platforms and reduce operational risk.
• Run cross-team design reviews and provide hands-on guidance on complex engineering decisions; establish “golden paths” (templates, reference implementations, reusable components).
• Coach senior engineers and tech leads through mentoring and shared learning, raising standards and consistency across teams.
• Improve reliability and observability across pipelines and services; lead major incident triage and post-incident actions with measurable outcomes.
• Embed security, risk, and compliance by design (least privilege, encryption, auditability, segregation of duties, safe releases), meeting control standards without slowing delivery.

To be successful, you will:

• Have a strong engineering background and be a passionate hands-on technologist with the ability to communicate effectively with different levels in the organisation.
• Have a strong background in data platforms and data engineering at enterprise scale (batch and/or streaming), with a focus on reliability and operability.
• Have proven ability to set and drive adoption of engineering standards (CI/CD, testing, documentation, operational readiness).
• Have strong understanding of data quality, lineage/metadata concepts, and how to build trusted datasets and services.
• Be comfortable operating in regulated environments with audit and control requirements.
• Have experience with cloud-native data services (e.g., BigQuery, Dataflow/Beam, dbt, Airflow/Composer) and cost/performance optimisation.
• Have experience designing reference data distribution patterns (APIs, authorised views, secure file transfer) and consumer contracts.
• Have familiarity with domain modelling for product/reference data and versioning strategies.