Sr. Delivery Consultant - Data Architect, ProServe SDT North...

Sr. Delivery Consultant - Data Architect, ProServe SDT North

The Amazon Web Services Professional Services (ProServe) team is seeking a skilled Delivery Consultant 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 Delivery Consultant 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 a trusted advisor 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.

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.

Key job responsibilities

1. Designing and implementing complex, scalable, and secure AWS solutions tailored to customer needs
   
2. Providing technical guidance and troubleshooting support throughout project delivery
   
3. Collaborating with stakeholders to gather requirements and propose effective migration strategies
   
4. Acting as a trusted advisor to customers on industry trends and emerging technologies
   
5. Sharing knowledge within the organization through mentoring, training, and creating reusable artifacts
   
   BASIC QUALIFICATIONS
   
   

• 5+ years' experience architecting and implementing data platforms (Data Lake, Data Lakehouse, Data Mesh, Data Warehouse) at enterprise scale
  
  
• Experience building end-to-end data solutions, including data ingestion (batch/streaming), storage, orchestration, governance, security, analytics, and observability.
  
  
• Highly technical and analytical mindset with ability to think strategically about business, product, and technical challenges in an enterprise environment
  
  
• Extensive hands-on experience with data platform technologies, including at least three of: Spark, Hadoop ecosystem, orchestration frameworks, MPP databases, NoSQL, streaming technologies, data catalogs, BI and visualization tools
  
  
• Proficiency in at least one programming language (e.g., Python, Java, Scala), infrastructure as code, cloud platforms, and SQL.
  
  PREFERRED QUALIFICATIONS
  
  
• Experience in a lead Data Architect role or similar Masters or PhD in Computer Science, Physics, Engineering or Math.
  
  
• Hands on experience leading large-scale global data warehousing and analytics projects and ability to lead effectively across organizations.
  
  
• Understanding of database and analytical technologies in the industry including MPP and NoSQL databases, Data Warehouse design, BI reporting and Dashboard development.
  
  
• Customer facing skills to represent AWS well within the customer’s environment and drive discussions with senior leaders regarding trade-offs, best practices, project management and risk mitigation.
  
  Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build.
  
  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.
  
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