HomeData Science Jobs- USAAmazon Web Services, Inc. | Hiring | Senior Solutions Architect - Analytics,...

Amazon Web Services, Inc. | Hiring | Senior Solutions Architect – Analytics, Specialist Solutions Architecture, Analytics | San Francisco, CA | BigDataKB.com | 5 Oct 2022

Job Location: San Francisco, CA

  • 3+ years of design, implementation, or consulting experience in applications or infrastructures
  • 8+ years within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics)
  • 7+ years of experience in the design and implementation of complex IT systems
  • Current implementation and architecture experience in big data, data warehousing, data lake, operational analytics, data migration, and integration scenarios. (Amazon EMR, Hadoop, Spark, R, Presto, Hive, Amazon Redshift, Teradata, Vertica, Glue, Data Migration Services)
  • Experience working with customers and stakeholders and driving outcomes in a pre-sales capacity
  • Working knowledge of modern software development practices and technologies such as agile methodologies and DevOps
  • Available for travel up to 25%

Job summary
Specialist Solutions Architect-Analytics
Worldwide Specialist Organization

Job Summary
AWS Specialist Solutions Architects (SSAs) are technologists with deep domain-specific expertise, able to address advanced concepts and feature designs. As part of the AWS sales organization, SSAs work with customers who have complex challenges that require expert-level knowledge to solve. SSAs craft scalable, flexible, and resilient technical architectures that address those challenges. This might involve guiding customers as they refactor an application or designing entirely new cloud-based systems.

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Specialist SAs play a critical role in capturing customer feedback, advocating for roadmap enhancements, and anticipating customer requirements as they work backwards from their needs. As domain experts, SSAs also participate in field engagement and enablement, producing content such as whitepapers, blogs, and workshops for customers, partners, and the AWS Technical Field.
Specialist Solutions Architects combine technical skills in analytics, business acumen, and technical sales skills. They are focused on supporting customers throughout the engagement lifecycle and work closely with the teams that support implementation including AWS Professional Services and Partners. SSAs unblock customers and help them get to production faster. Joining AWS as a Specialist Solutions Architect will give you opportunities to work on interesting and challenging problems, collaborate with a group of skilled practitioners focused on delivering outcomes for our customers, and be part of a diverse and inclusive community commited to being Earth’s Best Employer.
SSAs are part of the Worldwide Specialist Organization (WWSO) which builds and executes go-to-market plans that turn AWS ideas into multi-billion-dollar businesses. Our teams include business development, specialist sales, and specialist solutions architecture, working together to provide customer-obsessed solutions that help people run their businesses more effectively. We pride ourselves on thinking big, delivering exceptional results for our customers, and working across AWS as #OneTeam.

Team Section
The WWSO Analytics team positions AWS as the best place to run the full spectrum of Analytics workloads, including big data solutions, data warehouses, ETL, streaming, and search solutions. The team works closely with customers to provide a secure, reliable, and scalable analytics solutions, as well as help customers migrate analytics to the AWS cloud. As a Specialist Solutions Architect on the Analytics team, you will own technical engagements, define implementation architectures, and be an analytics subject-matter-expert for customer solutions and technical architectures. Solution Architects work closely with engineering teams to advocate on behalf of customers, provide product improvement feedback to AWS developers, and accelerate the adoption of new features for customer deployments. By working backwards from customer outcomes, you will architect analytics solutions in the data and analytics domain, share best practices through forums such as AWS blogs, whitepapers, reference architectures, and attend public speaking events such as AWS Summit and AWS re:Invent.

Job Requirements

Basic Qualifications- L6

  • 8+ years of solutions architecture or equivalent experience
  • 8+ years experience in Analytics technology (data warehouse, ETL, search, streaming, and/or data visualization
  • 5+ years of decision-maker engagement

Preferred Qualifications- L6

  • College/University degree or equivalent experience
  • Technical Cloud Certification
  • Proven ability to lead projects with complex challenges with extensible, operationally excellent, cost optimized, and aligned solutions outcomes
  • Ability to lead a team or small organization-wide initiative with business objectives that are partially defined
  • Able to effectively communicate across an increasing diversity of audiences internally and externally
  • Strong ability to determine solution strategy and where to simplify or extend solutions for the best outcome
  • Ability to influence customer and internal business decision makers as a technical thought leader

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.

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.

  • An advanced degree in computer science, MIS, engineering or related discipline
  • Hands-on experience with Amazon Web Services
  • Demonstrated industry leadership in the fields of Big Data processing, Database, Data Warehousing and Data Sciences
  • Deep understanding of data, application, server, and network security
  • Experience with Statistics, Machine Learning and Predictive Modelling

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, protected veteran status, disability, age, or other legally protected status. For individuals with disabilities who would like to request an accommodation, please visit https://www.amazon.jobs/en/disability/us.

Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.




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