Sr. Data Architect, Data Lake, Professional Services

- 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 (eg. 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.

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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.

Key job responsibilities
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.
Leadership - Lead data architecture and data engineering teams to deliver project implementations successfully.

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%.

A day in the life
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.

About the team
Diverse Experiences

Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.

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

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Inclusive Team Culture

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