Data Analytics Specialist

7 days ago


London, Greater London, United Kingdom Amazon Full time
Job Title: Big Data Solutions Architect

About the Role:

We are seeking a highly skilled Big Data Solutions Architect to join our team at Amazon. As a key member of our team, you will be responsible for designing and implementing scalable, secure, and highly available big data solutions for our customers.

Key Responsibilities:

  • Collaborate with cross-functional teams to understand customer needs and develop solutions that meet their business requirements.
  • Design and implement big data architectures using Amazon Web Services (AWS) data and analytics services, including AWS Glue, Amazon Elastic Map Reduce (EMR), Amazon Redshift, Amazon Athena & Amazon Kinesis.
  • Develop and maintain technical content, including documentation, presentations, and demos, to educate customers and partners on the capabilities and value of AWS big data and analytics services.
  • Provide thought leadership and technical expertise to customers and partners on big data and analytics best practices, including data governance, data migration, and data integration.
  • Work closely with AWS engineering and support teams to convey customer and partner needs and feedback as input to technology roadmaps.

Requirements:

  • Bachelor's degree in Computer Science, MIS, Engineering, or a related discipline.
  • 7+ years of hands-on implementation and architecture experience in data warehousing, data lakes, operational analytics, data migration, data governance, and integration scenarios, with a deep understanding of Apache Hadoop and the Hadoop ecosystem.
  • Proven track record of success in a consultative technical sales or professional services role, with the ability to gain credibility and build relationships with all levels in an organization, from technical experts to senior executives.
  • Demonstrated ability to think strategically about business, product, and technical challenges in an enterprise environment, with a track record of thought leadership and innovation around big data.
  • Strong verbal and written communication skills, the ability to lead effectively across internal and external organizations and distributed teams, and a talent for influencing and building mind-share convincingly with any audience.

Preferred Qualifications:

  • Advanced degree in Computer Science, MIS, Engineering, or a related discipline.
  • Hands-on experience with Amazon Web Services (AWS) data and analytics services, including expertise in architecting and deploying scalable, secure, and highly available solutions.
  • Proven track record of driving innovation and thought leadership in the fields of big data processing, data warehousing, data governance, and advanced analytics, including the application of Machine Learning and Artificial Intelligence.
  • Deep understanding of data ecosystems, including application, server, and network security, as well as data privacy and compliance regulations.
  • Experience with statistics, mathematical modeling, and the practical application of predictive analytics and data science techniques to solve complex business problems.


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