Senior Cloud Engineer – GCP – VP (eDiscovery & Archiving Technology)

Job Title: Senior Cloud Engineer – GCP – VP (eDiscovery & Archiving Technology)   Location: Pune, India Corporate Title: VP Role Description This position sits within Deutsche Bank’s eDiscovery and Archiving Technology group, delivering critical, compliant enterprise platforms that support key control and oversight functions across the bank – including Legal, Compliance, HR, and Audit. You will serve as a senior engineering authority, designing, building, and operating secure, resilient, and compliant Google Cloud Platform (GCP) solutions that power large scale data ingestion, processing, analytics, and enterprise archiving platforms. You will work closely with Group Architecture, Information Security, and Compliance to ensure solutions meet bank policies and regulatory expectations while accelerating data platform adoption and delivery on GCP.   What we’ll offer you As part of our flexible scheme, here are just some of the benefits that you’ll enjoy Best in class leave policy Gender neutral parental leaves 100% reimbursement under childcare assistance benefit (gender neutral) Sponsorship for Industry relevant certifications and education Employee Assistance Program for you and your family members Comprehensive Hospitalization Insurance for you and your dependents Accident and Term life Insurance Complementary Health screening for 35 yrs. and above Your key responsibilities Design and deploy scalable, fault tolerant, and highly available architectures on GCP using the Google Cloud Well Architected Framework, supporting data intensive eDiscovery and archiving workloads with strict security, reliability, and auditability requirements.  Design and build end to end data pipelines using Cloud Composer (Apache Airflow), Dataflow, Pub/Sub, and Cloud Storage, enabling reliable ingestion, transformation, and orchestration of large scale structured and unstructured datasets.  Engineer containerized and serverless platforms using GKE and Cloud Run, enabling secure, consistent deployment of data processing and analytics services.  Develop Infrastructure as Code (IaC) at scale by authoring modular Terraform, implementing policy as code guardrails, and integrating CI/CD pipelines to deliver compliant, auditable cloud and data platform provisioning.  Implement comprehensive observability across data and platform services using Google Cloud Observability, including pipeline monitoring, data quality signals, logging, metrics, tracing, alerting, and audit evidence generation.  Perform proactive performance tuning, capacity planning, and root cause analysis across distributed systems and data pipelines, continuously optimizing cost, throughput, and query performance.  Design governed data platforms leveraging BigQuery for analytics, including dimensional and big data modeling, advanced SQL query design, partitioning and clustering strategies, and performance optimization; integrate Cloud SQL and event driven architectures where required.  Collaborate with architects and control partners to translate target architecture, data governance, and bank controls into actionable engineering epics; lead design reviews and approvals with Group Architecture, Information Security, and Compliance; produce high quality design artifacts and operational runbooks.  Partner with product and delivery teams to define golden paths and reusable platform capabilities; mentor engineers and champion engineering best practices, data engineering standards, automation, and secure by default patterns.  Communicate clearly and concisely, tailoring technical and data architecture content for senior stakeholders, business partners, and global engineering teams, and influencing decisions through structured documentation and data driven recommendations. Your skills and experience Certified GCP Professional Cloud Engineer (preferred).  Proven experience engineering and operating large scale, production GCP environments in regulated