Data Architect, Professional Services

The AWS Professional Services organization is a global team of experts that help customers realize their desired business outcomes when using the AWS Cloud. We work together with customer teams and the AWS Partner Network (APN) to execute enterprise cloud computing initiatives. Our team provides assistance through a collection of offerings which help customers achieve specific outcomes related to enterprise cloud adoption. We also deliver focused guidance through our global specialty practices, which cover a variety of solutions, technologies, and industries.

The Professional Services (ProServe) team is seeking a skilled Data Architect to join our team at Amazon Web Services (AWS). In this role, you'll work closely with customers to design, implement, and manage AWS solutions that meet their technical requirements and business objectives. You'll be a key player in driving customer success through their cloud journey, providing technical expertise and best practices throughout the project lifecycle.

Possessing a deep understanding of AWS products and services, as a Data Architect you will be proficient in architecting complex, scalable, and secure solutions tailored to meet the specific needs of each customer. You'll work closely with stakeholders to gather requirements, assess current infrastructure, and propose effective migration strategies to AWS.

As trusted advisors to our customers, providing guidance on industry trends, emerging technologies, and innovative solutions, you will be responsible for leading the implementation process, ensuring adherence to best practices, optimizing performance, and managing risks throughout the project. These professional services engagements will focus on customer solutions such as Data and Business intelligence, machine Learning and batch/real-time data processing.

As an experienced technology professional, you will be responsible for:

1. 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.
2. 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.
3. 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.
4. 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%.

- 3+ years of experience in cloud architecture and implementation, preferably with AWS
- 3+ years of database (eg. SQL, NoSQL, Hadoop, Spark, Kafka, Kinesis) experience
- 3+ Experience delivering cloud projects or cloud based solutions
- Able to communicate effectively in English, within technical and business settings.
- Bachelor's degree in Business, Computer Science, or related field.

- 3+ years of external or internal customer facing, complex and large scale project management experience
- Proficiency in a wide range of AWS services (e.g., EC2, S3, RDS, Lambda, IAM, VPC, CloudFormation)
- Experience with automation and scripting (e.g., Terraform, Python)
- Expertise in performance optimization and cost management for cloud environments
- Ability to manage multiple projects and priorities in a fast-paced environment
- AWS Professional level certifications (e.g., Solutions Architect Professional, DevOps Engineer Professional) preferred

Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.