Sr. Data Architect - DW & MPP
US, VA, Virtual Location - Virginia
Amazon.com
Free shipping on millions of items. Get the best of Shopping and Entertainment with Prime. Enjoy low prices and great deals on the largest selection of everyday essentials and other products, including fashion, home, beauty, electronics, Alexa...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/whitepaper and creating packaged data service offerings.
· Delivery - Engagements include short on-site projects to assess and optimize customer’s Amazon Redshift implementations and helping 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
This position can have periods of up to 10% travel.
This position requires that the candidate selected be a U.S. citizen and be willing to maintain a TS security clearance.
Basic Qualifications
· Bachelor’s degree in Computer Science, Engineering, Mathematics or a related field or equivalent professional or military experience
· 8+ years of experience of 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
Preferred Qualifications
· Masters or PhD in Computer Science, Physics, Engineering or Math· 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, enterprise environments
· Understanding of database and analytical technologies in the industry including MPP databases, Data Warehouse design, BI reporting, Dashboard development and NoSQL storage
*Inclusive Team Culture*
Here at AWS, we embrace our differences. We are committed to furthering our culture of inclusion. We have ten employee-led affinity groups, reaching 40,000 employees in over 190 chapters globally. We have innovative benefit offerings, and we 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 14 Leadership Principles, which remind team members to seek diverse perspectives, learn and be curious, and earn trust.
*Work/Life Balance*
Our team also puts a high value on work-life balance. Striking a healthy balance between your personal and professional life is crucial to your happiness and success here, which is why we aren’t focused on how many hours you spend at work or online. Instead, we’re happy to offer a flexible schedule so you can have a more productive and well-balanced life—both in and outside of work.
*Mentorship & Career Growth*
Our team is dedicated to supporting new team members. Our team has a broad mix of experience levels and Amazon tenures, and we’re building an environment that celebrates knowledge sharing and mentorship
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. For individuals with disabilities who would like to request an accommodation, visit https://www.amazon.jobs/en/disability/us
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Tags: AWS Business Intelligence Computer Science Data Analytics Data Warehousing ELT Engineering ETL Hadoop Mathematics MPP NoSQL Oracle Perl PhD Physics Python RDBMS Redshift Security SQL Teradata
Perks/benefits: Career development Conferences Flex hours Team events
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