Delivery Consultant - Energy Powerbackbone AWS Professional Services

AWS Global Services includes experts from across AWS who help our customers design build operate and secure their cloud environments. Customers innovate with AWS Professional Services upskill with AWS Training and Certification optimize with AWS Support and Managed Services and meet objectives with AWS Security Assurance Services. Our expertise and emerging technologies include AWS Partners AWS Sovereign Cloud AWS International Product and the Generative AI Innovation Center. Youll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.

We are seeking an experienced Data Architect to focus on Supply Chain engagements for Energy & Utilities customers. The ideal candidate will bridge the gap between traditional supply chain systems and modern cloud architecture creating scalable solutions that enhance our energy supply chain visibility efficiency and intelligence.

This role will be part of AWS Energy ProServe team and requires a deep understanding of AWS technologies data architectures AI/ML and the broader technology ecosystem as well as how those technologies can be leveraged to optimize the endtoend supply chain. You will engage directly with CDOs CDAOs CTOs and CIOs to drive strategic data and generative AI initiatives ensuring that AWS services align with and enhance our customers IT and business strategies. Your expertise will help our customers enhance their innovation speed IT efficiency and the business value derived from their technological investments.

In this role the candidate should have handson experience in planning and executing complex data & analytics engagements architecting and implementing complex Cloud Native platforms and providing consultancy. This coupled with strong business acumen will be used to guide and own the sales and delivery of ProServe engagements.

Key job responsibilities
Strategic Direction and Development:
Define and develop overall strategic direction for AWS customers and internal AWS teams designing building optimizing transforming or otherwise migrating applications software and services on the AWS platform.
Partner with AWS Account Manager and ProServe Sales on accelerating innovation account strategy and technical aligning to increase business value through cloud adoption covering people processes and technology aspects.
Engage with Clevel executives to guide their strategic technology initiatives and support their data transformation journeys.
Participate in deep architectural discussions to design and architect scalable solutions on AWS to integrate data from multiple supply chain systems including WMS TMS ERP and IoT devices
Build deep relationships with senior technical individuals within customer organizations to enable them to become cloud advocates.
Designing enterprise scale globally distributed highly available solutions using our Compute Container Serverless Storage Analytics Database and Network Services
Act as technical focal point within the Energy & utilities organization for key AWS supply chain services and offerings including AWS Supply Chain Supply Chain Command Center (SC3 and Warehouse Automation and Optimization (WAO)
Work handson with new Services including AI/Machine Learning Serverless/Lambda IoT Analytics (Map Reduce ETL) Data Warehouse BI and Security Services to build products and solutions with our customers
Structure and Guide our Customers through transformation journey collaborating widely with business stakeholders to understand supply chain requirements and translate them into technical solutions
Deliver onsite technical engagements with partners and customers. This includes participating in presales onsite visits understanding customer requirements creating consulting proposals and creating packaged Big Data service offerings and delivering them as part of our projects


About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description we encourage candidates to apply. If your career is just starting hasnt followed a traditional path or includes alternative experiences dont let it stop you from applying.

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Inclusive Team Culture
AWS values curiosity and connection. Our employeeled and companysponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger more collaborative teams. Our continual innovation is fueled by the bold ideas fresh perspectives and passionate voices our teams bring to everything we do.

Mentorship & Career Growth
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Work/Life Balance
We value worklife harmony. Achieving success at work should never come at the expense of sacrifices at home which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home theres nothing we cant achieve.

5 years hands on experience in IT implementation or leading IT Projects in Architecture (Data)Engineering or Development
Deep understanding an implementation experience of database and analytical technologies in the industry including Data Lakes. Stream based Analytics MPP databases NoSQL storage Data Warehouse design BI reporting and Dashboard development
Worked in a customer facing (external or internal) consulting role or project organization for global largescale customers and largescale data driven projects
Business fluent verbal and written communication skills in French and English
Energy Power Backbone power / electricity grid knowledge and understanding of modern energy systems and transition to net zero energy
A professional who has experience of helping to design and implement power systems to improve efficiency and resilience
Working experience of energy conservation and sustainability

AWS Certified Solutions Architecture (Associate or Professional) or other specialty
Experience implementing services and solutions on Customer Projects using AWS Big Data Analytics AI /ML or Data Science solutions
Hands on experience leading largescale global data warehousing and analytics projects.
Experience designing and coding in Python or Scala or building ETL or data ingestion pipelines


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