Data Architect

DESCRIPTION
Are you an experienced specialist in data analytics who is at the top of their field in data warehousing, data lakes or AI/ML technology? Have you helped organizations re-think their data and analytics? Do you like to engage with customers to determine ways to optimize the IT Platforms & Infrastructure? Would you like a career that gives you opportunities to help organizations understand and use cutting edge cloud computing web services to do big new things faster, at lower cost?
Amazon Web Services (AWS) is looking for a Data Architect to help our commercial sector customers in Australia and NZ take advantage of cloud technology with their data. As a Data Architect, you thrive on solving our customers' most complex data challenges. Your day to day will consist of developing and delivering proof-of-concept projects, technical workshops, and guidance solving some of Australia and NZ's largest data analytics and business intelligence projects.
You will focus on delivering innovative solutions to our customers by accelerating their adoption of cloud and driving the value of their investment in AWS. Utilizing your broad and deep knowledge of technology and IT operations you will create solutions by mapping common customer business problems to reusable services focused on operational effectiveness and business value.
Key job responsibilities
You will work with customers in driving:

• The delivery of high-quality engagements around AWS Data & AIML services, solution areas, and technologies into diverse client environments leveraging available IP and following defined delivery methodologies and service offerings.
• Capturing requirements, business goals and objectives and helping create technology solutions using AWS Services
• Exert technical influence over multiple teams, increasing their productivity and effectiveness by sharing your deep knowledge and experience.
• Lead technical discussions with customer IT executives and hands on delivery teams to help enterprises speed their adoption of new technologies and practices.
• Leverage new technology paradigms (e.g., serverless, containers, microservices).

About the team
Inclusive Team Culture
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon's culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
Work/Life Balance
Our team puts a high value on work-life balance. It isn't about how many hours you spend at home or at work; it's about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfillment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives.
Mentorship & Career Growth
Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we're building an environment that celebrates knowledge sharing and mentorship. We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future.
Employee Benefits
We're passionate about supporting the needs of our people and their family. This may include:
- Comprehensive Private Health Insurance
- Paid Maternity and Parental Leave
- Flexible workplace: flexible daily working hours, we value work-life-harmony
- Amazon Employee Discount on product and services
- Salary Continuance and Life Insurance
We are open to hiring candidates to work out of one of the following locations:
Melbourne, VIC, AUS | Perth, WA, AUS | Sydney, NSW, AUS
BASIC QUALIFICATIONS
- A Bachelor or Masters Degree in either Computer Science/Operational Research/Statistics/ Mathematics or equivalent experience
- 3-5 years of Industry experience in predictive modeling, data science, track record of building ML/DL models, Python, R, SparkML , ML Libraries, GPUs and analysis.
- Able to write production level code, which is well-written and explainable
- Experience managing and delivering large-scale enterprise AI projects, supporting customers through complex delivery, collaborating with partners.
- Skills with programming languages, such as Java, C/C++, and/or Python.
PREFERRED QUALIFICATIONS
- Masters degree (Computer Science, Machine Learning, Operational Research, Statistics, Mathematics, etc.)
- Experience using ML libraries, such as scikit-learn, caret, mlr, mllib, data visuzalition tools
Acknowledgement of country:
In the spirit of reconciliation Amazon acknowledges the Traditional Custodians of country throughout Australia and their connections to land, sea and community. We pay our respect to their elders past and present and extend that respect to all Aboriginal and Torres Strait Islander peoples today.
IDE statement:
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer, and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected attributes.