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- Tasks: Lead high-impact data analytics projects using cutting-edge technologies.
- Company: Join AWS, the world's leading cloud platform, known for innovation and excellence.
- Benefits: Enjoy flexible work-life balance, mentorship opportunities, and a diverse, inclusive culture.
- Why this job: Make a real impact with AI and data analytics while collaborating with global experts.
- Qualifications: Experience with AWS services and a passion for data analytics are essential.
- Other info: Diverse backgrounds are encouraged; apply even if you don't meet all qualifications.
The predicted salary is between 43200 - 72000 ÂŁ per year.
Are you a Data Analytics and GenAI specialist? Do you have real-time Data Analytics, Data Warehousing, Big Data, Modern Data Strategy, Data Lake, Data Engineering and GenAI experience? Do you like to solve the most complex and high scale (billions+ records) data challenges in the world today? Do you like leading teams through high impact projects that use the latest data analytics technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?
AWS Professional Services Public Sector ANZ are hiring a highly technical cloud architect specialised in Data Analytics and GenAI to collaborate with our customers and partners to derive business value from the latest Data Analytics and GenAI services. Our consultants will develop and deliver proof-of-concept projects, technical workshops and support complex projects. These professional services engagements will focus on customer solutions such as batch, real-time data capture and analysis, driving data driven decisions and desired customer outcomes.
Key job responsibilities- Expertise: Collaborate with pre-sales and delivery teams to help partners and customers learn and use services such as AWS Glue, Amazon S3, Amazon DynamoDB, Amazon Relational Database Service (RDS), Amazon Elastic Map Reduce (EMR), Amazon Kinesis, Amazon Redshift, Amazon Athena, AWS Lake Formation, Amazon DataZone, Amazon SageMaker, Amazon Quicksight and Amazon Bedrock.
- Solutions: Deliver technical engagements with partners and customers. This includes participating in pre-sales visits, understanding customer requirements, creating consulting proposals and creating packaged data analytics service offerings.
- Delivery: Engagements include projects proving the use of AWS services to support new distributed computing solutions that often span private cloud and public cloud services. Engagements may include migration and modernisation of existing data applications and development of new data applications using AWS cloud services.
- Insights: Work with AWS engineering and support teams to convey partner and customer needs and feedback as input to technology roadmaps. Share real world implementation challenges and recommend new capabilities that would simplify adoption and drive greater value from use of AWS cloud services.
- Push the envelope: Artificial Intelligence is reducing the historical “IT constraint” on businesses. Imagine bold possibilities and work with our clients and partners to find innovative new ways to satisfy business needs through Data Analytics and GenAI 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. You’ll join a diverse team of technical experts in dozens of countries who help customers achieve more with the AWS cloud.
About the teamDiverse 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, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Inclusive Team Culture: AWS values curiosity and connection. Our employee-led and company-sponsored 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: We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Work/Life Balance: We value work-life 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, there’s nothing we can’t achieve.
BASIC QUALIFICATIONS- Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3)
- Experience implementing AWS services in a variety of distributed computing environments
- 5+ years of IT implementation experience
- Experience and technical expertise (design and implementation) in cloud computing technologies
- Experience leading the design, development and deployment of business software at scale or recent hands-on technology infrastructure, network, compute, storage, and virtualization experience
Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector employer: Job Traffic
Contact Detail:
Job Traffic Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector
✨Tip Number 1
Familiarise yourself with the specific AWS services mentioned in the job description, such as AWS Glue, Amazon S3, and Amazon Redshift. Having hands-on experience or relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Network with current or former AWS employees, especially those in similar roles. They can provide insights into the company culture and expectations, which can help you tailor your approach when applying.
✨Tip Number 3
Prepare to discuss real-world scenarios where you've tackled complex data challenges. Be ready to explain your thought process and the technologies you used, as this will demonstrate your problem-solving skills and technical expertise.
✨Tip Number 4
Showcase your passion for continuous learning in cloud computing and data analytics. Mention any relevant certifications or courses you've completed, as this reflects your commitment to staying updated in a rapidly evolving field.
We think you need these skills to ace Delivery Consultant - Data Analytics & GenAI, AWS Professional Services Public Sector
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Data Analytics, GenAI, and AWS services. Use specific examples that demonstrate your expertise in real-time data analytics, data warehousing, and cloud computing technologies.
Craft a Compelling Cover Letter: In your cover letter, express your passion for solving complex data challenges and leading teams. Mention how your skills align with the responsibilities outlined in the job description, particularly your experience with AWS services and technical engagements.
Showcase Relevant Projects: Include details of any relevant projects you've worked on that involved AWS services or data analytics. Highlight your role, the technologies used, and the outcomes achieved to demonstrate your capability in delivering high-impact solutions.
Highlight Soft Skills: Don't forget to mention your soft skills, such as teamwork, communication, and problem-solving abilities. These are crucial for collaborating with pre-sales and delivery teams, as well as engaging with customers effectively.
How to prepare for a job interview at Job Traffic
✨Showcase Your Technical Expertise
Make sure to highlight your experience with AWS services like Glue, S3, and Redshift. Be prepared to discuss specific projects where you've implemented these technologies, as this will demonstrate your hands-on knowledge and problem-solving skills.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve complex data challenges or design a solution using AWS services. Practise articulating your thought process clearly, as this will show your analytical skills and ability to think on your feet.
✨Understand the Company Culture
Familiarise yourself with AWS's values around diversity, inclusion, and work-life balance. Be ready to discuss how your personal values align with theirs, as cultural fit is often just as important as technical skills.
✨Ask Insightful Questions
Prepare thoughtful questions about the role, team dynamics, and future projects. This not only shows your interest in the position but also gives you a chance to assess if the company is the right fit for you.
