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Tier-1 bank, metro location, and popular cloud engineering role increases candidate competition.
Strong GCP, BigQuery, and regulated financial-services experience required, limiting cross-industry transferability.
Extensive mandatory GCP, data platform, Terraform, and regulated environment expertise tightens screening.
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Design, build, and operate secure, scalable, and compliant GCP architectures and data platforms supporting eDiscovery and archiving workloads with high security and auditability requirements.
Develop end-to-end data pipelines and containerized/serverless platforms using GCP tools such as Cloud Composer, Dataflow, Pub/Sub, GKE, and Cloud Run to handle large scale structured and unstructured datasets.
Lead collaboration with architecture, information security, and compliance teams to translate requirements into design, ensure governance, and produce operational documentation, influencing senior stakeholders globally.
Certified GCP Professional Cloud Engineer preferred (not mandatory).
Proven experience managing large scale production GCP environments in regulated enterprises, preferably financial services.
Strong hands-on technical skills with GCP data engineering tools (Cloud Composer, Dataflow, Pub/Sub, BigQuery, Cloud Storage) and Terraform infrastructure as code.
Experience with Java and Python programming, including PySpark; expertise in container orchestration with GKE and Cloud Run; and observability tooling in Google Cloud.
Senior-level engineer with VP title, capable of owning end-to-end cloud infrastructure and data platform delivery in a regulated financial context.
Experience working cross-functionally with security, compliance, and architecture teams to implement governance and compliance controls.
Operator focused on automation, DevOps practices, and building reusable platform capabilities with strong documentation and stakeholder communication skills.