Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector

Amazon; London; On-site; GBP 70,000 - 90,000; Full time

Job summary

A leading cloud platform seeks a Delivery Consultant specializing in Data Analytics and GenAI. This role involves collaborating with customers to solve complex data challenges and deliver innovative solutions using AWS services. The ideal candidate will have extensive experience in cloud computing and data analytics technologies, leading impactful projects that drive business value. Join a diverse team committed to professional growth and work-life balance.

Benefits

Mentorship & Career Growth

Work/Life Balance

Continuous Learning

Qualifications

• Expertise in AWS services and real-time data analytics.
• Experience in designing and deploying cloud-based solutions.

Responsibilities

• Collaborate with teams to utilize AWS services for data analytics.
• Support projects with AWS services for distributed computing solutions.

Skills

Data Analytics

GenAI

Cloud Computing

Problem Solving

Education

5+ years of IT implementation experience

Tools

AWS Glue

Amazon S3

DynamoDB

RDS

EMR

Kinesis

Redshift

Athena

Lake Formation

SageMaker

Quicksight

Bedrock

Job description

Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector

Are you a Data Analytics and GenAI specialist? Do you have experience with real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering, and GenAI?

Do you enjoy solving complex, high-scale data challenges involving billions of records? Are you interested in leading teams through impactful projects using the latest data analytics technologies? Would you like a career that progresses alongside the rapid adoption of cloud computing?

AWS Professional Services Public Sector ANZ seeks a highly technical cloud architect specialized in Data Analytics and GenAI to collaborate with customers and partners to derive business value from these services. Responsibilities include developing proof-of-concept projects, conducting technical workshops, and supporting complex projects focused on customer solutions such as batch and real-time data capture and analysis to support data-driven decisions.

Key job responsibilities

1. Expertise: Collaborate with pre-sales and delivery teams to help partners and customers utilize AWS services like AWS Glue, Amazon S3, DynamoDB, RDS, EMR, Kinesis, Redshift, Athena, Lake Formation, DataZone, SageMaker, Quicksight, and Bedrock.
2. Solutions: Deliver technical engagements including pre-sales visits, understanding customer requirements, creating consulting proposals, and developing packaged data analytics services.
3. Delivery: Support projects demonstrating AWS services for distributed computing solutions, migration and modernization of data applications, and development of new data applications using AWS cloud services.
4. Insights: Work with AWS engineering teams to relay customer feedback, share implementation challenges, and suggest new capabilities to enhance AWS services.
5. Innovate: Explore bold possibilities with AI and work with clients to find innovative ways to meet business needs through Data Analytics and GenAI services.

A day in the life

Join a diverse team of experts across AWS helping customers design, build, operate, and secure their cloud environments. Engage in activities such as upskilling through AWS Training, optimizing with AWS Support, and meeting objectives with AWS Security Services. Collaborate with AWS Partners, AWS Sovereign Cloud, and the Generative AI Innovation Center to achieve impactful outcomes.

About the team

Diverse Experiences: AWS values diverse backgrounds and experiences. Even if you do not meet all preferred qualifications, we encourage you to apply. We welcome candidates at different career stages and with various paths.

Why AWS?

Amazon Web Services is the world’s leading cloud platform, pioneering cloud computing and continuously innovating. Our services power startups to Fortune 500 companies worldwide.

Inclusive Team Culture

We promote inclusion through affinity groups and events that foster collaboration and innovation. Our culture thrives on bold ideas and diverse perspectives.

Mentorship & Career Growth

We support continuous learning, mentorship, and career development to help you grow professionally.

Work/Life Balance

We value work-life harmony and offer flexibility to support your personal and professional well-being.

- Knowledge of primary AWS services (EC2, ELB, RDS, Route53, S3)

- Experience implementing AWS services in distributed environments

- 5+ years of IT implementation experience

- Expertise in designing and deploying cloud-based business software or infrastructure including network, compute, storage, and virtualization

Acknowledgement of country

In the spirit of reconciliation, Amazon acknowledges the Traditional Custodians of land across Australia and pays respect to their elders past and present.

IDE statement

Amazon is an equal opportunity employer committed to diversity and inclusion. Support for workplace accommodations is available; please visit this link for more information.