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Amazon Data Warehouse Architect Resume Examples

Photo of Brenna Goyette
Brenna Goyette
Certified Professional Resume Writer, Career Expert

Updated 9 min read

This article will provide an overview of the necessary qualifications and skills needed to write a resume for a Data Warehouse Architect position at Amazon. It will discuss the type of experience and knowledge that is expected from applicants, as well as how to highlight relevant professional achievements in order to stand out from other applicants. Additionally, it will provide tips on how to showcase technical abilities and other qualifications that are necessary for this specific role.

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Amazon Data Warehouse Architect Resume Example

Jaala Ambrozy, Data Warehouse Architect

jaala.ambrozy@gmail.com

(690) 596-9720

San Francisco, CA

Professional Summary

A highly experienced and certified Data Warehouse Architect with over 6 years of experience in delivering reliable and secure data solutions. I have a proven track record of designing, developing and implementing end-to-end data warehouse solutions for clients of all sizes across various industry sectors. I have extensive knowledge of data warehouse architecture, design, and implementation. I'm adept in utilizing ETL tools, SQL coding, and cloud-based data warehouse solutions. I have great communication and problem-solving skills and I'm able to work independently or as part of a team. My expertise includes data mining, data modeling, data analysis, and report development.

Work Experience

Data Warehouse Architect at Informatica Corporation (Redwood City, CA), CA

Oct 2022 - Present

  • Developed a new data warehouse architecture for Informatica Corporation that reduced the cost of storage and improved query performance by 25%.
  • Implemented an automated ETL process to reduce manual labor hours from 1,500 per month down to 500. This resulted in significant savings on operational costs.
  • Led a team of 5 engineers in building out the company’s first enterprise-wide Data Warehouse system which allowed users across departments access critical business insights quickly and efficiently resulting in increased productivity throughout all teams within the organization.

Senior Data Warehouse Architect at Oracle Corporation (Redwood Shores, CA), CA

Jul 2019 - Sep 2022

  • Developed a customized data warehouse architecture for Oracle’s Cloud Services division that enabled the organization to reduce storage costs by up to 25%. This project included designing an efficient ETL process and leveraging existing tools such as OBIEE, Informatica Powercenter, SQL Server Analysis Services (SSAS), and Data Integrator.
  • Designed an end-to-end enterprise BI solution based on Oracle Business Intelligence Enterprise Edition (OBIEE) that provided real time visibility into key performance indicators across multiple departments in Redwood Shores office. The implementation resulted in improved decision making capabilities within the company which led to cost savings of $750K annually.
  • Led a team of 10 developers who created several new applications utilizing Tableau software suite including dashboards with interactive visuals along with reports designed for analytics purposes resulting in increased user adoption rate from 50% - 90%.

Lead Data Warehouse Architect at Teradata Corporation (San Diego, CA), CA

Sep 2017 - May 2019

  • Developed a data warehouse solution for Teradata’s flagship product, doubling the efficiency of customer queries and increasing overall performance by 20%.
  • Led an innovative project that integrated machine learning tools into existing systems to improve analytics accuracy by 40% over traditional methods.
  • Pioneered implementation of cloud-based technologies within the organization, resulting in cost savings of $1 million annually through reduced infrastructure needs.

Education

Bachelor of Science in Data Warehouse Architecture at California State University, Long Beach

Sep 2013 - May 2017

Relevant Coursework: Database Design, Data Modeling, Data Warehousing, Business Intelligence, Data Mining, Advanced SQL Querying and Analytics.

Skills

  • Database Design
  • Data Modeling
  • ETL (Extract, Transform, Load)
  • SQL Querying
  • Business Intelligence
  • Data Warehousing
  • Reporting/Analytics

Certificates

  • Certified Data Warehouse Architect (CDWA)
  • Microsoft Certified Solutions Expert: Business Intelligence (MCSE BI)

Tips for Writing a Better Amazon Data Warehouse Architect Resume

1. Highlight Your Technical Skills: Your Amazon Data Warehouse Architect resume should demonstrate your technical skills, including your experience with AWS, Redshift, SQL, and other database technologies. Be sure to include specific projects that showcase your abilities.

2. Tailor Your Resume to the Job Description: Make sure you tailor your resume to the job description so that it is tailored specifically for the Amazon Data Warehouse Architect role you are applying for. This will show potential employers that you have the right skills and qualifications for the position.

3. Showcase Your Problem-Solving Abilities: Employers want to hire someone who can solve complex problems and come up with creative solutions. Use your Amazon Data Warehouse Architect resume to highlight any problem-solving successes you have achieved in previous roles or projects.

4. Include Relevant Certifications: If you have any relevant certifications or training related to data warehousing, be sure to include them on your resume as well. This will demonstrate to employers that you are knowledgeable about the industry and capable of handling their data warehouse needs.

5. Focus on Your Achievements: Rather than simply listing work duties, focus on highlighting accomplishments from past roles on your Amazon Data Warehouse Architect resume. This will help potential employers see how valuable you can be in this role and why they should hire you over other applicants

Related: Data Architect Resume Examples

Key Skills Hiring Managers Look for on Amazon Data Warehouse Architect Resumes

Incorporating keywords from the job description when applying for a Data Warehouse Architect opportunity at Amazon is essential due to the company's use of Applicant Tracking Systems. These systems are designed to scan resumes and applications for specific keywords related to the job role and qualifications. By using relevant keywords from the job description, you will increase your chances of having your application seen by a hiring manager or recruiter. Additionally, it is important that you use keywords accurately and strategically throughout your application materials to demonstrate how your skills and experience match what Amazon is looking for in a Data Warehouse Architect.

When applying for a Data Warehouse Architect position at Amazon, some common skills and key terms you may encounter include:

Key Skills and Proficiencies
Data ModelingData Warehousing
ETL (Extract, Transform, Load)SQL
Business IntelligenceData Analysis
OLAP (Online Analytical Processing)Data Visualization
Database DesignHadoop
Big Data AnalyticsCloud Computing
Data GovernanceReporting & Dashboards
System ArchitectureProject Management
Agile MethodologyMetadata Management
Performance TuningSecurity & Compliance
Scripting LanguagesData Mining

Related: Data Architect Skills: Definition and Examples

Common Action Verbs for Amazon Data Warehouse Architect Resumes

Finding the right action verbs to use on a resume can be tricky. It’s important to use varied verbs that are specific to the job role in order to create an effective Amazon Data Warehouse Architect Resume. Words like “developed”, “managed” and “analyzed” are good starting points, but it is also important to think outside of the box and use more specific words such as “orchestrated”, “engineered” and “automated”. These types of verbs will help show recruiters that you have the skills necessary for the position and will make your resume stand out from the competition.

To give you a competitive edge and bolster your resume, we've compiled a list of powerful action verbs to help you land your next interview:

Action Verbs
DesignedDeveloped
ImplementedConfigured
MonitoredAdministered
OptimizedDocumented
TestedMaintained
TroubleshotAutomated
AnalyzedResolved
InvestigatedUpgraded
AssessedManaged
StreamlinedExecuted
IntegratedDeployed

Related: What does a Data Architect do?

Editorial staff

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Editor

Brenna Goyette

Expert Verified

Brenna is a certified professional resume writer, career expert, and the content manager of the ResumeCat team. She has a background in corporate recruiting and human resources and has been writing resumes for over 10 years. Brenna has experience in recruiting for tech, finance, and marketing roles and has a passion for helping people find their dream jobs. She creates expert resources to help job seekers write the best resumes and cover letters, land the job, and succeed in the workplace.

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