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Data Architect, Data Lake, Professional Services Expert

hace 2 meses


Ciudad de México, Ciudad de México Amazon Web Services Mexico S. de R.L. de C.V. A tiempo completo
About the Role

We are seeking a highly skilled Data Architect to join our team at Amazon Web Services Mexico S. de R.L. de C.V. as a Professional Services Expert. As a Data Architect, you will be responsible for collaborating with our customers and partners on key engagements, developing, delivering, and implementing data analytics projects that help our customers leverage their data to develop business insights.

Key Responsibilities
  • 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 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.
  • Leadership: Lead data architecture and data engineering teams to deliver project implementations successfully.

This is a customer-facing role, and you may be required to travel to client locations and deliver professional services when needed, up to 50%.

About the Team

Amazon Web Services (AWS) Professional Services is a global team of cloud experts helping our customers succeed, no matter what type of work they do. We're a passionate group of strategic thinkers who anticipate our customers' needs so we can deliver the right technologies and services at scale. It's our customer-first mindset that allows us to build and innovate a new future in the cloud.

Why AWS

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empowers us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship and Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship, and other career-advancing resources here to help you develop into a better-rounded professional.

Minimum Requirements
  • 7+ years of technical specialist, design, and architecture experience and experience of consulting, design, and implementation of serverless distributed solutions experience;
  • 5+ years of database (e.g., SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience and software development with object-oriented language experience;
  • 3+ years of cloud-based solution (AWS or equivalent), system, network, and operating system experience;
  • 7+ years of external or internal customer-facing, complex, and large-scale project management experience;
  • Bachelor's degree, or 7+ years of professional or military experience;
  • 5+ years in experience with Teradata systems.