Analytics Specialist Solution Architecture Manager, EMEA

UK-London
6 months ago
Job ID
517555
Amazon Web Services UK Limited

Job Description

Are you a specialist in data, analytics and business intelligence? Do you have Data Warehousing, Hadoop/EMR, Machine Learning and/or Real Time Event Processing experience? Do you want to have an impact in the development and use of new data analytics technologies? Do you like to solve the most complex and large-scale data challenges in the world today, and help build the solution architecture capability for Analytics at AWS? Would you like a career that gives you opportunities to help customers and partners use Cloud computing web services to do build new solutions, faster, and at lower cost? Do you like to gain the deepest customer and partner insights using Cloud computing technologies?
At AWS, we’re hiring Managers to lead a team of Solution Architects who collaborate with our customers and partners on solutions in Analytics. These engagements will focus on real time and batch-based data processing, Business Intelligence, HPC, and Machine Learning. This role will specifically focus on AWS Services for Analytics, and on helping our customers and partners build innovative solutions and businesses that focus on leveraging the value of data.
Amazon aims to be the most customer centric company on earth. Amazon Web Services (AWS) provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers critical applications for hundreds of thousands of businesses in 190 countries around the world.

You will lead a dynamic team bringing the latest in disruptive, cutting-edge cloud computing technologies to bear on the difficult cost and agility challenges facing many organizations. The business development and account management teams will help accelerate the adoption of AWS as the leading cloud technology platform.

Roles & Responsibilities
    • Lead a distributed team of Solution Architects focused on Data & Analytics
    • Design Customer Solutions -­ collaborate with AWS field sales, pre­sales, training and support teams to help partners and customers learn and use AWS services such as Elastic Map Reduce (EMR), Redshift, Kinesis, Amazon Machine Learning, AWS Lambda, Data Pipeline, S3, DynamoDB, and the Relational Database Service (RDS)
    • Devise Strategy -­ lead Solution Architects, Account Managers, Professional Services and Partners to define an analytics engagement strategy for AWS operational territories and key accounts.
    • Thought Leadership – provide global thought leadership on analytics solutions that benefit customers through the use of AWS services. This takes the form of contribution to external publications such as the AWS Big Data Blog, Whitepapers and reference architectures, as well as internal training of Solution Architects, Professional Services Consultants, Technical Account Managers, and AWS Trainers
    • Serve as a key member of the business development and account management team in helping to ensure customer success in building and migrating applications, software and services on the AWS platform.
    • Assist solution providers with the definition and implementation of technical and business strategies.
    • Capture and share best-practice knowledge amongst the worldwide AWS solution architect community.

Basic Qualifications

  • Experience of leading teams focused on Analytics, Data Warehousing Business Intelligence, or Machine Learning
  • The right person will be highly technical and analytical, possess significant experience of software development and/or IT and networking implementation/consulting experience.
  • Strong verbal and written communications skills are a must, as well as the ability to work effectively across internal and external organisations and virtual teams.
  • Experience working within the software development or internet industries is highly desired.
  • Understanding of application, server, and network security is highly desired.
  • Technical degrees in computer science, software engineering, or math highly desired; working knowledge of modern software development practices and technologies such as agile methodologies and DevOps is highly desired.
  • Executive speaking and presentation skills – formal presentations, white boarding, large and small group presentations.
  • Technical – Web services development/deployment experience, IT systems and network engineering experience, security and compliance experience, etc.
  • Operational – Website/web services as well as traditional IT networking, operations, management, and security experience.
  • Economic and business – RFP/Acquisition support; market analysis; cost benefit analysis, etc.
  • Ability to think strategically about business, product, and technical challenges in an enterprise environment. Understanding of Agile methodologies, and the ability to apply these practices to Analytics projects.
  • Highly technical and analytical, possessing 10 or more years of analytics platform implementation or operations experience. Deep understanding of database and analytics technologies in the industry including MPP, Relational, and NOSQL databases.
  • Knowledge of the underlying infrastructure requirements such as Networking, Storage, and Hardware Optimisation.
  • Implementation and tuning experience in the Hadoop Ecosystem, including tools such as Hive, Spark, Presto, and HBase.
  • Implementation and tuning experience of Data Warehousing platforms, including knowledge of Data Warehouse Schema Design, Query Tuning and Optimisation, and Data Migration and Integration. Experience of requirements for the analytics presentation layer including Dashboards, Reporting, and OLAP.
  • BS level technical degree required; Computer Science or Math background preferred.

Preferred Qualifications

  • Hands on experience leading large-scale global data warehousing, analytics, cloud and machine learning projects.
  • Demonstrated industry leadership in the fields of Database and/or Data Warehousing, Data Sciences and Big Data processing.
  • Experience with Statistics and Machine Learning.
  • Hands on experience as a database, data warehouse or big data developer.
  • Track record of implementing AWS services in a variety of business environments such as large enterprises and start-ups. Experience working within the software development or Internet industries is highly desired.
  • Understanding of application, server, and network security is highly desired.
  • Technical degrees in computer science, software engineering, or math highly desired; working knowledge of modern software development practices and technologies such as agile methodologies and DevOps is highly desired.
  • AWS Certification, eg. AWS Solutions Architect Associate and Professional
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