Data Architect

Data Architect Resume Keywords and Skills (Hard Skills)

Here are the keywords and skills that appear most frequently on recent Data Architect job postings. In other words, these are the most sought after skills by recruiters and hiring managers. Go to Sample Templates ↓ below to see how to include them on your resume.

Remember that every job is different. Instead of including all keywords on your resume, identify those that are most relevant to the job you're applying to. Use the free Targeted Resume tool to help with this.

Choose a category
  • Data Architecture
  • Data Modeling
  • Data Warehousing
  • Extract, Transform, Load (ETL)
  • Data Governance
  • Big Data
  • Requirements Analysis
  • Solution Architecture
  • Enterprise Architecture
  • SQL
  • Data Integration
  • Hadoop
  • Master Data Management
  • Agile Methodologies
  • Data Migration
  • Apache Spark
  • Data Warehouse Architecture
  • Business Intelligence (BI)
  • Business Analysis
  • Microsoft SQL Server
  • Databases
  • Software Development Life Cycle (SDLC)
  • Hive
  • Database Design
  • Oracle Database
  • Integration
  •   Show full list

Resume Skills: Database

  • MySQL
  • PostgreSQL
  • Oracle
  • MongoDB
  • MS SQL Server
  • MariaDB
  • SQL Server
  • DB2

Resume Skills: Programming

  • Python
  • Java
  • C++
  • R
  • SQL
  • SAS
  • Scala
  • Shell scripts
  • Python (numpy, pandas)
  • Bash
  • JavaScript
  • C#
  • Perl
  • PL/SQL
  • Python (Pandas, NumPy)

Resume Skills: Big Data

  • Apache Hadoop
  • Spark
  • Hive
  • Flume
  • Kafka
  • Storm
  • Sqoop
  • Hadoop
  • Pig
  • Elasticsearch
  • MongoDB
  • Cassandra
  • MapReduce
  • Impala
  • Apache Spark
  • Microsoft SQL Server
  • Oracle
  • PostgreSQL

Resume Skills: Cloud

  • AWS
  • Google Cloud
  • BigQuery
  • Azure
  • Eclipse
  • NetBeans

Resume Skills: Data Management

  • Oracle
  • MySQL
  • SQL Server
  • PostgreSQL
  • MongoDB
  • MariaDB
  • DB2
  • MS SQL Server
  • Apache Hadoop

Resume Skills: Software & Tools

  • Hadoop
  • Apache Spark
  • MongoDB
  • Microsoft SQL Server
  • Oracle
  • PostgreSQL
  • IBM DB2
  • MySQL

Resume Skills: Machine Learning Tools

  • TensorFlow
  • scikit-learn
  • Theano
  • PyTorch
  • Keras

Resume Skills: Data Modeling Tools

  • ER/Studio
  • PowerDesigner
  • IBM Data Architect
  • Oracle Designer
  • ERwin
  • Toad Data Modeler
  • Sparx Systems Enterprise Architect

Resume Skills: Data Visualization

  • Tableau
  • Power BI
  • D3.js
  • PowerBI
  • ggplot
  • seaborn
  • matplotlib

Resume Skills: DB Security

  • VPN
  • Firewall
  • Data Encryption
  • SSL
  • TLS
  • SFTP

Resume Skills: Miscellaneous

  • Linux
  • Apache
  • Git
  • Docker
  • AWS
  • Azure
  • Agile Methodology

Resume Skills: Data Visualisation & Analytics

  • Tableau
  • Power BI
  • SAS
  • SPSS
  • Excel

Resume Skills: Data Architect Tools

  • ERwin
  • TOAD
  • PowerDesigner
  • Navicat
  • DbSchema

Resume Skills: Data Technologies

  • MySQL
  • Oracle
  • DB2
  • SQL Server
  • MongoDB
  Does your resume contain all the right skills? Paste in your resume in the AI Resume Scan ↓ section below and get an instant score.

Sample Data Architect Resume: How To Include These Skills

Add keywords directly into your resume's work experiences, education or Skills section, like we've shown in the examples below. Use the examples below as inspiration.

Choose a template
Your Name
Data Architect
City, Country  •  (123) 456-789  •  [email protected]  •
Resume Worded January 2019 - Present
Senior Data Architect
Conducted Data Governance to enhance company-wide understanding of critical data, increasing data quality and customer trust by 30%
Devised a scalable Data Architecture, which supported growth in data volume by 5x, saving $200K in additional investments
Led development of robust Data Warehousing solutions, increasing data retrieval speed by 60% and improving team productivity by 35%
Deployed a highly efficient Extract, Transform, Load (ETL) system, leading to a 25% rise in data processing speed and 15% increased system performance
Executed successful Data Migration of 5TB data to cloud storage in less than 3 months, providing easier access to files and reducing storage maintenance costs by 20%
Microsoft July 2015 - December 2018
Data Architect
Built complex Data Models that effectively increased data insights and decision-making capacity by 30%
Leveraged SQL scripting power to enhance data operations, cutting down data errors by 60%
Managed implementation of Apache Spark for processing of extensive datasets, achieving 3x speed in data processing
Set up effective Data Integration processes, improving data consolidation technique and accelerating inter-departmental data shareability by 70% June 2012 - June 2015
Database Developer
Pioneered the implementation of business-imperative Databases, that boosted business operations by 45%
Facilitated Business Analysis resulting in enhanced data-driven decision making, reducing costs by 25%
Optimized SQL Server performance, increasing data processes speed by 40% and enhancing system efficiency
Resume Worded University May 2014
Master's Degree in Data Science & Engineering
Thesis: 'Developing Scalable and Efficient Database Structures'
Resume Worded Institute July 2012
Bachelor’s Degree in Information Technology
Minor: Computer Software Engineering
Awards: Resume Worded Institute Scholar’s Award, Dean's List 2009-2011
Programming: Python, Java, C++, SQL, SAS, MATLAB
Data Modeling Tools: ERwin, PowerDesigner, Toad Data Modeler, Sparx Systems Enterprise Architect
Database: MySQL, Oracle, PostgreSQL, MongoDB, MariaDB
Data Visualization: Tableau, Power BI, D3.js
Certifications: Oracle Database 12c Administrator Certified Associate, AWS Certified Big Data - Specialty
Leadership & Volunteering: Mentor at Girls Who Code, Co-organizer at local Data Analytics Meetup group
Publications: Published research paper in 'Journal of Information Systems & Technology', titled 'Efficient Query Optimization Techniques in Large Scale Databases'
Your Name
Data Engineer
City, Country  •  (123) 456-789  •  [email protected]  •
EXPERIENCE March 2018 - Present
Principal Data Engineer
Architected Enterprise-wide solution leveraging Big Data technologies increasing data ingestion, processing and analysis speed by 50%
Applied Agile Methodologies to improve project delivery timelines, increasing team's pace by 30%
Worked closely with Data Architects to streamline Data Models, enhancing data insight extraction by 25%
Implemented Hadoop eco-system to house overweight data, increasing system performance by 40% and reducing data access time by 60%
Led a project overseeing Data Migration to a new platform, reducing maintenance cost by 20% and enhancing data availability by 70%
Amazon July 2014 - February 2018
Senior Data Engineer
Led the design, installation and testing of database systems, boosting system reliability by 60%
Orchestrated Extract, Transform, Load (ETL) processes to enhance data operability, reducing data errors by 35%
Operationalized a robust Business Intelligence platform to utilize crucial data insights, improving strategic decision-making by 45%
Resume Worded January 2011 - June 2014
Data Analyst
Implemented improved data collection procedures, decreasing data redundancies by 55%
Utilized Requirements Analysis to identify key business needs, increasing overall business performance by 30%
Resume Worded University May 2016
Master of Science in Big Data
Concentrations: Data Analysis, Machine Learning
Resume Worded Academic Center April 2010
Bachelor of Engineering - Computer Science
Specialization: Information Systems
Awards: Resume Worded Scholar (Top 5% of class)
Programming: Python, Java, MATLAB, C++, R, SQL
Machine Learning Tools: TensorFlow, scikit-learn, Theano, PyTorch, Keras
Big Data: Apache Hadoop, Spark, Hive, Flume, Kafka, Storm, Sqoop
Cloud: AWS, Google Cloud, BigQuery, Azure
Certifications: Google Cloud Certified - Professional Data Engineer (2021), Certified AWS Solutions Architect - Associate (2020)
Professional Development: Attended Strata Data Conference and Big Data LDN annually
Projects: Built and maintained ETL pipelines and data warehouses for multiple client projects
Languages: English (Native), French (Conversational), Spanish (Basic)
Volunteering: Mentor at Coding for All, a non-profit organization for underprivileged students
Your Name
Database Administrator
City, Country  •  (123) 456-789  •  [email protected]  •
Microsoft April 2017 - Present
Senior Database Administrator
Introduced complex Data Warehousing solutions to enhance storage and retrieval of data, increasing system performance by 45%
Optimized SQL scripts to improve data operations, reducing data error instances by 55%
Spearheaded successful adoption of Master Data Management best practices, enhancing data quality by 40%
Directed a sweeping Data Migration project for 2TB data in record 1.5 months, reducing storage maintenance cost by 30% and availing easier access to data
Formulated data backup and recovery processes that boosted system reliability by 50%
Google March 2014 - March 2017
Database Administrator
Established a streamlined Data Governance policy, improving data security by 60%
Redesigned structure for data warehouse WD-2, leading to 30% improvement in data extraction July 2010 - February 2014
Database Support Specialist
Handled routine inspections and troubleshooted system issues for 8 company databases, leading to drastic 70% reduction in downtime
Set up an effective database backup system, ensuring 100% data safeness on occurrence of failures
Resume Worded Institute December 2016
Certification in Database Administration
Included advanced training in SQL, Oracle, and server management
Resume Worded University May 2010
Master in Computer Science, Specializing in Database Systems
Thesis: 'Optimizing Database Performance in Cloud Environments'
Database Management: Oracle, MySQL, SQL Server, PostgreSQL, MongoDB, MariaDB, DB2
DB Security: VPN, Firewall, Data Encryption, SSL, TLS, SFTP
Scripting & Programming: SQL, PL/SQL, Python (Pandas, NumPy), Java, C++, C#
Miscellaneous: Linux, Apache, Git, Docker, AWS, Azure, Agile Methodology
Certifications: Microsoft Certified: Azure Database Administrator Associate (2020), Oracle Database 12c Administrator Certified Professional (2017)
Voluntary Work: IT Support for Local Non-Profit Organizations (Organized by Data Assist Association, 2020-Present)
Projects: Designed and implemented a highly-efficient database system for a startup (2021), Migrated a company's old database to the cloud (2019)
Publications: Co-author of 'Cloud Database Management and Security', a research published in the Journal of Database Systems (JDS, 2021)

Compare Your Resume To These Data Architect Skills (ATS Scan)

Paste your resume below and our AI will identify which keywords are missing from your resume from the list above (and what you need to include). Including the right keywords will help you get past Applicant Tracking Systems (i.e. resume screeners) which may scan your resume for keywords to see if you're a match for the job.

How do I add skills to a Data Architect resume?

Review the job posting closely.

Go through the Data Architect posting you're applying to, and identify hard skills the company is looking for. For example, skills like Extract, Transform, Load (ETL), Big Data and Data Warehousing are possible skills. These are skills you should try to include on your resume.

Add industry skills like Data Modeling and Data Architecture.

Add other common skills from your industry - such as Data Governance, Solution Architecture and Requirements Analysis - into your resume if they're relevant.

Add skills into your work experience.

Incorporate skills - like Business Analysis, Data Migration and Agile Methodologies - into your work experience too. This shows hiring managers that you have practical experience with these tools, techniques and skills.

Show evidence of your analytical skills.

Analytical skills involve your ability to break down a problem and come up with effective solutions. On Data Architect resumes, hiring managers want to see evidence of how you analyzed quantitative or qualitative data.

Show your ability to analyze data.

In your Data Architect resume, show evidence of where you worked with and analyzed data of all formats, whether they're surveys, spreadsheets or databases. We've highlighted examples in the infographic for reference.

Use the exact job title.

Try to add the exact job title, Data Architect, somewhere into your resume to get past resume screeners. See the infographic for how to do this.

Word Cloud for Data Architect Skills & Keywords

The following word cloud highlights the most popular keywords that appear on Data Architect job descriptions. The bigger the word, the more frequently it shows up on employer's job postings. If you have experience with these keywords, include them on your resume.

Top Data Architect Skills and Keywords to Include On Your Resume

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Data Architect Resume Templates

Here are examples of proven resumes in related jobs and industries, approved by experienced hiring managers. Use them as inspiration when you're writing your own resume. You can even download and edit the resume template in Google Docs.

Resume Example
Entry Level Data Analyst

Resume Example
Senior Data Analyst

Resume Example
Marketing Data Analyst

Resume Example
Financial Data Analyst

Resume Example
Senior Data Engineer

Resume Example
Big Data Engineer

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Frequently Asked Questions

What hard skills should you include on a Data Architect resume?

Some popular Data Architect hard skills are Data Architecture, Data Modeling, Data Warehousing, Extract, Transform, Load (ETL), Data Governance, Big Data, Requirements Analysis and Solution Architecture.

Depending on the job you apply to, skills like Hive, Data Migration, Microsoft SQL Server, Agile Methodologies and Business Analysis can also be good to include on your resume.

Target your Resume to a Job Description

While the keywords above are a good indication of what skills you need on your resume, you should try to find additional keywords that are specific to the job. To do this, use the free Targeted Resume tool. It analyzes the job you are applying to and finds the most important keywords you need on your resume.

It is personalized to your resume, and is the best way to ensure your resume will pass the automated resume filters.

Start targeting your resume

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