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 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.
Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.
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.
Skills Required
- Proven experience engineering and operating large-scale production GCP environments in regulated enterprise contexts
- Strong hands-on GCP data engineering experience with Cloud Composer, Apache Airflow, Dataflow, Pub/Sub, BigQuery, and Cloud Storage
- Advanced BigQuery expertise, including data modeling, advanced SQL, query optimization, partitioning, clustering, and performance tuning
- Strong Java engineering skills for system development, integrations, APIs, and data processing
- Advanced Python proficiency, including PySpark and related libraries for large-scale data transformation and analytics
- Deep hands-on Terraform expertise on Google Cloud, including modular design, state management, policy as code, environment promotion, and compliance checks
- Advanced GKE and Cloud Run expertise, including scalability, security, networking, workload identity, and cost optimization
- Expertise in observability using Google Cloud Monitoring, Logging, Error Reporting, and distributed tracing
- DevOps and platform engineering experience with GitOps, CI/CD, automated testing, and reusable platform components
- Clear architecture and operational documentation skills, with effective senior-stakeholder communication and cross-functional influence
- Certified GCP Professional Cloud Engineer
- Experience in financial services
Deutsche Bank Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Deutsche Bank and has not been reviewed or approved by Deutsche Bank.
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Healthcare Strength — Health coverage is positioned as comprehensive, spanning multiple medical plan options along with dental, vision, prescription coverage, life insurance, and disability protection.
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Leave & Time Off Breadth — Time away is described as generous, including annual leave, sick leave, public holidays, wellbeing leave, volunteering leave in some regions, and expanded bereavement leave in certain locations.
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Retirement Support — Retirement support is presented as a matched savings plan (401(k)), reinforcing longer-term financial security as part of the rewards package.
Deutsche Bank Insights
What We Do
At Deutsche Bank, we give original thinkers the space and support they need to shine. Merging local knowledge with global vision, in-depth insight with industry-leading digital expertise, if you’re an innovator by nature, we can help you to unleash your potential. We see things differently at Deutsche Bank – and we’re proud of our fresh perspective. Today, we’re driving growth through our strong client franchise, investing heavily in digital technologies, prioritising long-term success over short term gains, and serving society with ambition and integrity. Wherever your interests lie – in investment banking, trading, private wealth, asset management, retail banking - or many of the infrastructure functions that support them – you’ll discover resources, training and opportunities designed to keep you ahead of the curve. Intelligence has no boundaries: we welcome high-achieving, talented individuals from any background. If you’re full of imagination, enjoy solving problems and respond positively to complex challenges, discover a career to look forward to and join us!
