Platform Engineering Lead/Senior Associate Director, Data and Analytics Specialist

HSBC; Pune District; On-site; INR 600,000 - 1,200,000; Full time

Job summary

HSBC is seeking a senior data/platform engineer to define the platform vision, roadmap, and federated governance for Tier‑1 data services on Google Cloud, ensuring secure, scalable and cost‑optimised delivery.

You will lead the build-out of the Control Plane and iHUB portal for self-service consumption, drive FinOps KPIs, implement IaC and CI/CD, and oversee AI governance in a regulated banking environment.

Qualifications

• 15+ years of data/platform engineering experience.
• 5+ years leading cloud data programs.
• Proven large‑scale GCP data architecture delivery.
• Strong SQL, Python, Terraform, streaming and governance skills.
• Experience building self‑service, multi‑tenant data platforms.
• Banking decisioning integration exposure is a plus.
• Experience delivering AI‑enabled data platforms on cloud with GenAI/ML workloads.
• Experience FinOps KPIs and cost reporting.
• Understanding AI governance and controls in regulated environments.

Responsibilities

• Define the platform vision, roadmap, and governance for data services.
• Architect and evolve scalable GCP data platform.
• Lead build‑out of Control Plane and iHUB portal for self‑service consumption.
• Drive observability, reliability and AI‑assisted data issue repair.
• Own CI/CD standards and IaC with Terraform and GitOps.
• Implement security by design across toolchain.
• Define SRE practices: SLO/SLI, incident management, and runbooks.
• Apply FinOps and cost modelling for data platforms.
• Ensure governance for GenAI/ML workloads.

Skills

GCP data architecture

SQL

Python

Terraform

Streaming

Governance

Tools

BigQuery

Dataflow

Pub/Sub

GKE

Cloud Storage

Bigtable

Airflow

IAM

Monitoring

Artifact Registry

Job description

Responsibilities

• Define the platform vision, roadmap, principles, and standards for Tier‑1 data services and establish and enforce federated governance across entitlement, privacy, retention, lineage, catalog, quality, integrity and usage monitoring.
• Define KPIs and operational measures (e.g., data freshness, quality scores, consumption latency, unit cost), and drive continuous improvement.
• Architect and evolve a scalable, secure, resilient, and cost‑optimised GCP data platform using services including BigQuery, Dataflow, Pub/Sub, GKE, Cloud Storage, Bigtable, Composer/Airflow, IAM, Logging/Monitoring and Artifact Registry.
• Lead build‑out of the Control Plane and unified portal (iHUB), enabling self‑service consumption and consistent multi‑tenant patterns, oversee data modelling and trusted source curation, including reference/master data strategy.
• Drive observability and reliability (metrics, tracing, anomaly detection, alerting) including AI‑assisted data issue identification/repair where appropriate.
• Own and mature CI/CD standards for data platform services and pipelines (e.g., GitLab CI/Jenkins), including automated testing, security scanning, and gated releases; implement Infrastructure as Code (Terraform) and GitOps‑style operating practices for repeatable, auditable environment provisioning; embed security by design across the DevOps toolchain (IAM, KMS, secrets management, policy‑as‑code, vulnerability management).
• Define and establish SRE‑aligned practices: SLO/SLI definition, error budgets, incident management, root‑cause analysis, problem management, and reliability engineering; strengthen operational controls: release governance, change management readiness, resilience/DR testing, runbooks, and on‑call support patterns.
• Hands‑on experience with agentic AI patterns (e.g., tool‑using agents, planner–executor loops, retrieval‑augmented generation (RAG), function/tool calling, and multi‑agent collaboration) applied to engineering or data operations use cases (e.g., data quality triage, lineage inference, incident support, automated remediation).
• Exhibit experience applying FinOps practices to large‑scale cloud data platforms, balancing cost, performance, reliability and risk in a regulated environment; establish capability in cost modelling and unit economics for data platforms (e.g., cost per TB processed, cost per query/job, cost per pipeline run, cost per domain/tenant), with clear chargeback/showback approaches where applicable.

To be successful you will

• Have 15+ years of data/platform engineering experience and 5+ years leading cloud data programs.
• Demonstrate proven large‑scale GCP data architecture delivery.
• Possess strong SQL, Python, Terraform, streaming, and governance implementation skills.
• Have a track record in building self‑service and multi‑tenant data platforms.
• Have banking decisioning integration exposure (e.g., CDH/decisioning uplift) and/or CDMS integration.
• Have practical experience delivering AI‑enabled data platforms on cloud, including governed integration of GenAI/ML workloads with enterprise data services (catalogue, lineage, access controls, retention).
• Have experience building and tracking FinOps KPIs and reporting (e.g., budget adherence, forecast accuracy, savings delivered, unit‑cost trends), and driving continuous improvement with engineering teams.
• Have a strong understanding of AI governance and controls in a regulated environment: model risk considerations, prompt/tooling guardrails, data leakage prevention, policy‑based access, logging, monitoring, evaluation, and human‑in‑the‑loop approval where required.

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, gender or genetic information, sexual orientation, ethnicity, religion, social status, medical care leave requirements, political affiliation, people with disabilities, colour, national origin, veteran status, etc.; we consider all applications based on merit and suitability to the role.

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