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Hybrid Platform Cloud Engineer - Assistant Vice President

Deutsche Bank
United Statesfull_timeVerifiedPosted 7 Apr 2025
💰 $142,250/yr($100,000/yr$142,250/yr)

About the role

Job Description:

Job Title Hybrid Platform Cloud Engineer

Corporate Title Assistant Vice President

Location Cary, NC

Who we are

In short – an essential part of Deutsche Bank’s technology solution, developing applications for key business areas.

Our Technologists drive Cloud, Cyber and business technology strategy while transforming it within a robust, hands-on engineering culture. Learning is a key element of our people strategy, and we have a variety of options for you to develop professionally. Our approach to the future of work champions flexibility and is rooted in the understanding that there have been dramatic shifts in the ways we work.

Having first established a presence in the Americas in the 19th century, Deutsche Bank opened its US technology center in Cary, North Carolina in 2009. Learn more about us here.

Overview

Our Data & Analytics group, within Deutsche Bank’s GTI, is working with cutting-edge technology to transform the way we work, We are at an exciting time, expanding our core data enabling capabilities to unleash the value of the Company's data assets to gain competitive advantage in the marketplace and advancing our journey to Cloud (GCP) as well as improving our on-premise platform to have a similar technology stack to cloud with the goal of making the Cloud and On-premise platforms similar hosting solutions for applications.

Data & Analytics provides a stable and secure Big Data platform along with analytics and reporting tools across the enterprise. This role is part of the GTI Hybrid Cloud function.

Our goal is to build & offer simple self-service shared platforms for clients to consume and in turn run their own business applications on. We’ll use a combination of vendor supported Enterprise Hadoop technologies coupled with Cloud native services and use automation for efficiency and accuracy, Our highest priority is to satisfy customer needs through early and continuous delivery of valuable software and technology.

What We Offer You

  • A diverse and inclusive environment that embraces change, innovation, and collaboration

  • A hybrid working model with up to 60% work from home, allowing for in-office / work from home flexibility, generous vacation, personal and volunteer days, a commitment to Corporate Social Responsibility

  • Employee Resource Groups support an inclusive workplace for everyone and promote community engagement

  • Access to a strong network of Communities of Practice connecting you to colleagues with shared interests and values

  • Competitive compensation packages including health and wellbeing benefits, retirement savings plans, parental leave, and family building benefits, educational resources, matching gift and volunteer programs

What You’ll Do

  • Design and implement scalable Big Data architecture solutions for scalability, high availability, fault tolerance, and elasticity

  • Implement production grade Big Data systems or reporting analytics tools in alignment with enterprise architecture and infrastructure guidelines and standards, tuning for operational efficiency (e.g. low cost/high automation)

  • Design/build, configure/support software on Cloud and/or on-premise as per defined hosting solution for Data and Analytics and tools in collaboration with architects, engineering leads, product managers, and other key program stakeholders

  • Demonstrate leadership involving technical, process and people issues, to make sure we are doing the right thing

  • Implement security including encryption best practices for Big Data and reporting environments

Skills You’ll Need

  • Knowledge of Structured Query Language (SQL) on either Hadoop-based engines such as Hive, Impala, Spart SQL

  • Demonstrate expertise in Data Engineering (e.g. Big Data, Reporting, ETL tools, etc)

  • Experience developing data pipelines using two or more of the following Cloud native or similar technologies such as Cloud SQL, BigQuery, Dataflow, and Dataproc

  • Experience with one or more reporting tools like Tableau, SSAP tools/Business Objects, and Power BI

  • Experience with security including authentication, authorization, and at-rest and in-motion encryption (e.g. PKI)

Skills That Will Help You Excel

  • Understanding of database theories, structures, categories, properties, b

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Company

Deutsche Bank

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