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

Deutsche Bank; Maharashtra; On-site; INR 4,000,000 - 6,000,000; Full time

Benefits offered by this job

Best in class leave policy

Gender neutral parental leaves

Childcare assistance reimbursement

Certification sponsorship

Employee Assistance Program

Health insurance for dependencies

Life insurance

Health screening for 35+ years

Job summary

Deutsche Bank in Pune, India seeks a Senior Cloud Engineer – GCP for eDiscovery & Archiving Technology. You will design, build, and operate secure cloud platforms enabling large-scale data ingestion, processing, and archival workloads in a regulated enterprise.

The role emphasizes architecting on GCP, implementing IaC with Terraform, and ensuring governance with security and auditability across data pipelines. VP-level ownership awaits strong technologists.

Qualifications

• Experience designing and operating large-scale GCP environments in regulated contexts.
• Hands-on data engineering on GCP including Airflow, Dataflow, Pub/Sub, BigQuery, Cloud Storage.

Responsibilities

• Design and deploy scalable, highly available architectures on GCP.
• Build end-to-end data pipelines and orchestrations.
• Develop IaC with Terraform and integrate CI/CD for compliance.
• Implement observability, monitoring, and cost/performance optimization.

Skills

GCP

Data engineering (GCP)

Terraform

GKE & Cloud Run

BigQuery

Java

Python

CI/CD & GitOps

Airflow (Composer)

Dataflow & Pub/Sub

Tools

Cloud Composer (Airflow)

Dataflow

Pub/Sub

BigQuery

Cloud Storage

Terraform

GKE

Cloud Run

Job description

Position Overview

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

• 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 enterprise contexts (financial services preferred), with ownership across cloud infrastructure and data platforms.
• Strong hands on expertise in data engineering on GCP, including Cloud Composer (Airflow), Dataflow, Pub/Sub, BigQuery, and Cloud Storage for batch and streaming data pipelines.
• Advanced BigQuery expertise, including big data analytics modeling, advanced SQL development, query optimization, partitioning and clustering strategies, and performance tuning at scale.
• Strong Java engineering skills, used for system development and building integrations and APIs to support data ingestion, processing, and downstream consumption.
• Advanced proficiency in Python for automation and data processing, including use of PySpark and related libraries for large scale data transformation and analytics workloads.
• Deep hands on expertise in Terraform on Google Cloud, including modular design, state management, policy as code, environment promotion, and automated compliance checks.
• Advanced proficiency in GKE and Cloud Run, including cluster and service design, scalability, security controls, networking, workload identity, and cost/performance optimization.
• Expertise in designing platforms with comprehensive observability across infrastructure and data pipelines using Google Cloud Monitoring, Logging, Error Reporting, and distributed tracing.
• DevOps and platform engineering experience including GitOps, CI/CD, automated testing, and reusable internal developer and data platform components.
• Clear written architecture and operational documentation, effective communication with senior stakeholders, and the ability to influence cross functional technical and data architecture decisions.

How We’ll Support You

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About Us And Our Teams

Please visit our company website for further information:

https://www.db.com/company/company.html

We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.

Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.

We welcome applications from all people and promote a positive, fair and inclusive work environment.