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Principal Data Architect, Data Warehousing & MPP

Job Details

Hiring Organization Amazon
Post Name Principal Data Architect, Data Warehousing & MPP
Qualification Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience. Masters or Ph.D. in Computer Science, Physics, Engineering, or Math
Industry Private
Employment Type Full Time
Work Hours 8 Hours
Salary USD 8000 To USD 12000 Per Month
Location San Antonio, Texas, United States 78245


Are you a Data Analytics specialist? Do you have Data Warehousing, and Hadoop/Data Lake 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?

This role will specifically focus on large-scale data warehousing and data warehouse modernization. The role is to help our customers and partners to eliminate technical and economic constraints from their legacy data warehouses and help them to leverage their data to develop business insights.

Our consultants will develop, deliver and implement data warehouse projects that help our customers help our customers leverage their data to develop business insights. These professional services engagements will focus on customer solutions such as data warehousing, business intelligence, and advanced analytics.
Responsibilities include:

  • Expertise – Collaborate with AWS field sales, pre-sales, training, and support teams to help partners and customers learn and use AWS services such as Redshift, Database Migration Service, Glue, S3, and Schema Conversion Tool.
  • Solution – Deliver on-site technical engagements with partners and customers. This includes participating in pre-sales on-site visits, understanding customer requirements, contributing to internal Area of Depth (AoD) programs, authoring AWS Data Analytics best practice blogs/whitepapers, and creating packaged data service offerings.
  • Delivery – Engagements include short on-site projects to assess and optimize customers’ Amazon Redshift implementations and help customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.
  • · Innovate – Engaging with the customer’s business and technology stakeholders to create a compelling vision of a data-driven enterprise in their environment

Inclusive Team Culture

Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have thirteen employee-led affinity groups, reaching 85,000 employees in over 190 chapters globally.
We have innovative benefit offerings and host annual and ongoing learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences. Amazon’s culture of inclusion is reinforced within our 16 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.

Work/Life Balance

Our team puts a high value on work-life harmony. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here. We are a customer-obsessed organization—leaders start with the customer and work backward.
They work vigorously to earn and keep customer trust. As such, this is a customer-facing role in a hybrid delivery model. Project engagements include remote delivery methods and onsite engagement that will include travel to customer locations as needed.

Mentorship & Career Growth

Our team is dedicated to supporting new members. We have a broad mix of experience levels and tenures, and we’re building an environment that celebrates knowledge sharing and mentorship.
We care about your career growth and strive to assign projects based on what will help each team member develop into a better-rounded professional and enable them to take on more complex tasks in the future. This is a customer-facing role. You will be required to travel to client locations and deliver professional services when needed.


  • Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience. Masters or Ph.D. in Computer Science, Physics, Engineering, or Math
  • 12+ years of experience in IT platform implementation in a technical role
  • 8+ years of development and/or DBA experience in Relational Database Management Systems (RDBMS)
  • 5+ years of hands-on experience in implementation and performance tuning MPP databases (Teradata, Vertica, Netezza, Greenplum)
  • Experience with prioritization of projects that mitigate trade-offs
  • Experience in analyzing Data Warehouses such as Teradata, Netezza, Oracle, etc. or Greenplum, etc.
  • Experience designing database environments, analyzing production deployments, and making recommendations to optimize performance


  • Ability to evaluate and plan migrations to Amazon Redshift
  • One of the AWS Associate level certifications or AWS Certified Cloud Practitioner.
  • Extensive hands-on experience in leading large-scale full-cycle MPP enterprise data warehousing (EDW) projects
  • Extensive hands-on experience in data warehousing design, tuning and ETL/ELT process development
  • Excellent SQL and strong hands-on scripting (bash, Perl or python) ability
  • Experience implementing AWS services in a variety of distributed computing, and enterprise environments
  • Understanding of database and analytical technologies in the industry including MPP databases, Data Warehouse design, BI reporting, Dashboard development, and NoSQL storage
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 another legally protected status. 

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