Job Description

• Background in ElasticSearch or Amazon OpenSearch
• Experience designing, building, refactoring or operating Analytics - either on premises or in the cloud
• Experience designing and sizing ElasticSearch clusters, troubleshooting implementations, and ingesting data.
• Knowledge of some relevant languages, tools and frameworks (e.g python, Java, C#, Go, Elasticsearch and SAS Analytics amongst others)
• Experience engaging successfully with internal or external stakeholders delivering solutions to help businesses succeed
• Technical degree in Maths, Science, Engineering, Computer Science, Information Technology or equivalent

Job summary
Are you an ElasticSearch specialist? Do you like to solve the most complex and large-scale data challenges in the world today? Do you want to have an impact in the development and use of new data analytics technologies? Come join us!

As a Specialist Solutions Architect, you will innovate and scale architectural best practices around building and operating Analytics workloads by collaborating with key customers, developing content and enabling the wider community to adopt the AWS portfolio of services around Analytics.
In this role, you will have the opportunity to enhance your knowledge around high-volume, large scale analytics, help shape AWS services and leverage this expertise to guide AWS customers.

As a trusted advisor with technical expertise in Analytics, you will share recommendations around security, cost, performance, reliability and operational efficiency to accelerate key projects for our customers.
Inside AWS, you are an ambassador of our customers. You will articulate customer needs by synthesizing your observations from customer engagements and market trends around Analytics workloads to inform the roadmap of AWS features.
In this role, your creativity will link technology to tangible solutions, with the opportunity to define and implement cloud-native reference architectures for a variety of use cases.
Specialist Solutions Architects are thought leaders in AWS technology and industry trends in the Analytics space who create and share best practices through white papers, code samples, workshops, user groups and blog posts.
If you are enthusiastic about enabling AWS customers on the art of the possible, while challenging the impossible, come and build the future with us.

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.

• Knowledge of AWS analytics search and streaming services, DWH solutions and BigData services.
• Experience working in a customer-facing role, creating technical content or delivering enablement sessions
• Experience with cloud technologies including relevant industry certifications (e.g. AWS Solutions Architect Associate or Professional)
• Experience with migrating workloads between data centres or from on-prem to cloud