Data Architect, Data Lake, Professional Services

Job summary
Are you a Data Analytics specialist? Do you have Data Lake/Hadoop experience? Do you like to solve the most complex and high scale (billions + records) data challenges in the world today? Do you like to work on-site in a variety of business environments, leading teams through high impact projects that use the newest data analytic technologies? Would you like a career path that enables you to progress with the rapid adoption of cloud computing?

At Amazon Web Services (AWS), we’re hiring highly technical data architects to collaborate with our customers and partners on key engagements. Our consultants 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 include:

• Delivery - Help the customer to define and implement data architectures (Data Lake, Lake House, Data Mesh, etc). Engagements include short on-site projects proving 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. This includes participating in pre-sales visits, understanding customer requirements, creating packaged Data & Analytics service offerings.
• Innovate- Engaging with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment. Create new artifacts that promotes 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%.

Basic Qualifications

• 5+ years of experience of IT platform implementation in a technical and analytical role.
• 3+ years of experience of Data Lake/Hadoop platform implementation, including hands-on experience (implementation and performance tuning) in Hive/Spark implementations.
• Experience with one or more SQL-on-Hadoop technology (Hive, Impala, Spark SQL, Presto) and developing software code in one or more programming languages (Java, Python, etc).
• Experience ingesting data from different sources and/or ETL development experience (Nifi, etc).

Preferred Qualifications

• Masters or PhD in Computer Science, Physics, Engineering or Math.
• Hands on experience leading large-scale full-cycle MPP enterprise data warehousing (EDW) and analytics projects (including migrations to Amazon Redshift).
• Ability to lead effectively across organizations and partners.
• Cloud Certifications
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• Industry leadership in the fields of database, data warehousing or data sciences.
• Ability to think strategically about business, product, and technical challenges in an enterprise environment.
• Ability to communicate fluently in Spanish, English and Portuguese