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Sr. Data & Analytics Customer Delivery Architect

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Job Details
Job Order Number
6854375
Company Name
Amazon Corporate, LLC
Physical Address
750 South Halsted Street
Chicago, IL 60607
Job Description

“Alexa, help me transform and optimize my business leveraging AWS from a people, process AND platform perspective!” AWS is known for its unwavering customer obsession. Our Professional Services teams are on the front line of helping customers succeed using AWS data and analytics services that align with the new ways of managing people and re-architecting critical processes to complement the new cloud paradigm.

AWS Professional Services team members leverage their deep knowledge of AWS technologies in collaboration with our sales and partner teams to propose, architect, and implement transformational data and analytics solutions for customers. Helping make customer success a reality using AWS cloud as an enabler and seeing the impact in real-time drives our teams to explore new frontiers in leveraging AWS for our customers.

The Sr. Data & Analytics CDA is a new growth role within the Professional Services umbrella, and is principally oriented around a qualify-deliver-manage model. The individual is responsible for partnering with a Professional Services leaders to dive deep into a customer’s business challenge, to collaboratively propose and pre-qualify a particular set of outcomes that would result from a formal data and analytics Professional Services engagement. Thereafter, the individual remains meaningfully engaged with that customer, Amazon team and project/program to ensure high-value, predictable, and successful delivery.

This is not a pure consultant role, nor is it a pure selling role. It is an individual with a unique data and analytics expertise, hands-on building, coupled with cross-industry business acumen, including a heavy dose of passion for continued knowledge acquisition and growth, obsession for customers, and their success using AWS that will align well with the desired outcomes to be produced.

Do you have what it takes to bring yourself, your customers, and your team to the next level?

ROLE AND RESPONSIBILITIES

  • As a key member of the Account and Professional Services Go-To-Market teams, ensure success in designing, building, optimizing, transforming or migrating, data and analytics solutions to AWS platform
  • Educate customers on the value proposition of AWS
  • Participate in deep architectural discussions and design exercises to create world-class data and analytics solutions built on AWS while ensuring such solutions are designed for successful deployment in the cloud and drive business outcomes
  • Author or otherwise contribute to AWS customer-facing publications such as whitepapers and proof of concepts
  • In partnership with the ProServe leadership and account team, formulate and execute a strategy to accelerate customer outcomes through the adoption of AWS in conjunction with Professional Services engagements
  • Build deep relationships with senior technical individuals within customers to enable them to be cloud advocates
  • Capture and share best-practice knowledge, sales and delivery content amongst the AWS Professional Services community

This is a customer facing role. You be required to travel to client locations to deliver professional services when needed.

Basic Qualifications

  • Bachelor’s degree, or equivalent experience, in Computer Science, Engineering, Mathematics or a related field
  • Experience leading a team of Data Engineers/Data Architect consultants
  • Experience delivering business value to customers with Data Analytics solutions
  • 5+ years Hands-on experience leading the design, development and deployment of business software at scale or current hands on Data Analytics or Machine Learning solutions
  • Knowledge of data landscape including the DWH/Spark/Hadoop Ecosystem
  • Experience leading enterprise data strategies including data lake delivery
  • Familiarity with on premise transactional database environments such as Oracle, SQL Server, MySQL and/or Postgres, as well as MPP databases (Teradata, Netezza, Vertica and Greenplum)
  • Knowledge of optimal design of database environments, analyzing complex distributed production deployments, and making recommendations to optimize performance
  • Familiarity with TCO, ROI and Value Models to help Customers understand the cost/benefit equation associated with Data Analytic Cloud solutions
  • Identify, lead and contribute to the creation of best practices, packaged offering, white papers, workshops, etc.
  • Consulting sales experience and ability to sell $1M+ professional services engagements
  • Ability to travel to client locations to deliver professional services, as needed

Amazon is an Equal Opportunity Employer – Minority / Women / Disability / Veteran / Gender Identity / Sexual Orientation / Age


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