Chief Data Architect, Data Lake, Professional Services Expert

hace 3 días

Bogotá, Bogotá D.E., Colombia Amazon Web Services Colombia S.A.S. - E40 A tiempo completo

About the Role

At Amazon Web Services Colombia S.A.S. - E40, we're seeking a highly skilled Data Architect to collaborate with our customers and partners on key engagements.

As a Data Architect, you will develop, deliver, and implement data analytics projects that help our customers leverage their data to develop business insights. These professional services engagements will focus on customer solutions such as Data and Business intelligence, machine Learning, and batch/real-time data processing.

Responsibilities

  • Delivery - Help the customer to define and implement data architectures (Data Lake, Lake House, Data Mesh, etc) and engage in short on-site projects to prove the use of AWS Data services to support new distributed computing solutions that often span private cloud and public cloud services.
  • Solutions - Deliver on-site technical assessments with partners and customers, including participating in pre-sales visits, understanding customer requirements, and creating packaged Data & Analytics service offerings.
  • Innovate - Engage with the customer's business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment and create new artifacts that promote code reuse.
  • Expertise - Collaborate with AWS field sales, pre-sales, training, and support teams to help partners and customers learn and use AWS services such as Athena, Glue, Lambda, S3, DynamoDB, Amazon EMR, and Amazon Redshift.
  • Since this is a customer-facing role, you might be required to travel to client locations and deliver professional services when needed, up to 50%.

Requirements

  • Experience implementing AWS services in a variety of distributed computing environments.
  • 3+ years of experience of Data Lake/Hadoop platform implementation.
  • 2+ years of hands-on experience in implementation and performance tuning Hadoop/Spark implementations.
  • Experience with Apache Hadoop and the Hadoop ecosystem.
  • Experience with one or more relevant tools (Sqoop, Flume, Kafka, Oozie, Hue, Zookeeper, HCatalog, Solr, Avro).
  • Hands-on experience leading large-scale full-cycle MPP enterprise data warehousing (EDW) and analytics projects (including migrations to Amazon Redshift).
  • At least one of the AWS Associate level certifications or higher.
  • Ability to lead effectively across organizations and partners.

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