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Enterprise data architect skills for your resume and career

Updated January 8, 2025

5 min read

Quoted experts

James Shields,

Elaine Chow AIA, RA, NCARB

Below we've compiled a list of the most critical enterprise data architect skills. We ranked the top skills for enterprise data architects based on the percentage of resumes they appeared on. For example, 7.3% of enterprise data architect resumes contained analytics as a skill. Continue reading to find out what skills an enterprise data architect needs to be successful in the workplace.

15 enterprise data architect skills for your resume and career

1. Analytics

Here's how enterprise data architects use analytics:

Set the overall architectural direction for Enterprise Data Warehouse, and OBIEE Data Marts for enterprise analytics reporting.
Coordinate work of technical teams, on/offshore resources and vendors for Data Integrating and BI Analytics Projects.

2. Cloud

Cloud is a server that is accessed over the internet. There are different programs and software that also run on these servers. These clouds can be accessed from anywhere in the world as they are not present in your computer storage, but have their online servers. Cloud consists of data centers all across the world.

Here's how enterprise data architects use cloud:

Conducted assessment for Systems Security plan (SSP), Cloud Service Provider, PAAS, SAAS, IAAS.
Manage all corporate-wide infrastructure including firewalls, virtual environments, cloud environments, and Layer 2-Layer 7 approvals.

3. Python

Python is a widely-known programming language. It is an object-oriented and all-purpose, coding language that can be used for software development as well as web development.

Here's how enterprise data architects use python:

Supported developers and programmers for Python Security check and code compliance to suit federal standards.
Developed instrument models and Monte Carlo simulator in Python.

4. Data Management

The administrative process that involves collecting and keeping the data safely and cost-effectively is called data management. Data management is a growing field as companies rely on it to store their intangible assets securely to create value. Efficient data management helps a company use the data to make better business decisions.

Here's how enterprise data architects use data management:

Assessed data management and functional capabilities for potential vendor solutions, assessing the compatibility of products with A7C client requirements.
Developed classes on data management and advanced data modeling, and various presentations on data architecture and data warehousing.

5. Data Quality

Here's how enterprise data architects use data quality:

Build features to support data categorization models, data quality anomaly detection and better data cleansing processes.
Lead planning of corporate data governance process with concentration on data quality and reference data implementations.

6. Hadoop

Hadoop is an open-source software and procedures framework that is free for anyone to use on the internet. Hadoop aids in big data operations. It allows massive data storage, applications to be run on commodity hardware, and can easily manage to run various tasks occurring at the same time.

Here's how enterprise data architects use hadoop:

Designed requirements for an enterprise data profiling utility, with Hadoop as primary focus.
Developed requirements for bringing pricing and orders data into Hadoop enterprise data hub.

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7. AWS

Here's how enterprise data architects use aws:

Helped developers to automate code deployment and features release using AWS Code Deploy.
Designed and provisioned a sandbox environment of Oracle EnterpriseOne ERP system in AWS EC2 to perform fit/gap analysis.

8. Data Integration

Here's how enterprise data architects use data integration:

Provided GIS technical support to data collection, data integration efforts and improved operating protocols governing data reporting and management.
Put together an architectural vision to reduce complexity, simplify data integration and data provisioning.

9. Azure

Here's how enterprise data architects use azure:

Used Azure Machine learning for predictive models.
Azure) PostgresSQL, Greenplum, Hawq & Kafka environments; GoLANG Program Architect & Admin.

10. Data Lake

Here's how enterprise data architects use data lake:

Worked on IMPALA for building out the tables for supporting reporting from data lake.
Analyzed data of existing applications for lifting and shifting to data lake environment from existing systems as part of data migration.

11. Metadata

Metadata is a combination of two words, meta and data. Meta is a prefix defined as more comprehensive, and data means collection of data. Metadata is defined as the data that describes other data. It is used to summarize data about data to make the data easier to analyze.

Here's how enterprise data architects use metadata:

Provided data element naming conventions consistent with standards and ensured that data dictionaries and metadata are maintained across multiple database environments.
Advised on data architecture standards and guidelines; modeled metadata requirements to extend the enterprise metadata repository (Platinum).

12. Infrastructure

Infrastructure includes the organizational and physical structures needed to run an area or a society smoothly. It is a group of basic facilities required for any society or firm to run sustainably and efficiently. The infrastructural system is a high investing area and helps majorly in flourishing the economy and prosperity of a country. It is an underlying system needed for ensuring the safety and comfort of the public and to run a country smoothly. All the tasks needed to be performed for a flourishing economy and a happy and healthy public are included in infrastructure.

Here's how enterprise data architects use infrastructure:

Carried out full-scope technology assessment - infrastructure evaluation, software adoptions and hardware procurement in support of overall business-process improvement goals.
Developed client segmentation strategy for product and infrastructure assignment.

13. Data Governance

Data governance is an assortment of cycles, jobs, arrangements, principles, and measurements that guarantee the successful and productive utilization of data in empowering an association to accomplish its objectives. Information administration characterizes who can make a what move, upon what information, in what circumstances, utilizing what strategies

Here's how enterprise data architects use data governance:

Participate in enterprise risk management and adherence to enterprise data governance policies and practice.
Served as contributing member of Data Governance Council and Data Stewardship and Mobilization Committees.

14. Data Standards

Here's how enterprise data architects use data standards:

Defined enterprise data standards for all logical/physical models under development.
Provide guidance and leadership to state data architects in implementing data model changes that follow enterprise data standards and naming convention.

15. Business Processes

Here's how enterprise data architects use business processes:

Map & Gap Analysis of Business Processes and Data for provider and claim subject area using SAP Business Object tool.
Build the Enterprise Data Warehouse with the top down business processes and bottom up implementation across applications and organizations.

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What skills help Enterprise Data Architects find jobs?

Tell us what job you are looking for, we’ll show you what skills employers want.

What skills stand out on enterprise data architect resumes?

James Shields

Design Principal at HGA Architects and Associate Professor of Architecture, University of Wisconsin - Milwaukee

Many interviews for architecture jobs remain online at the present time, so an ability to communicate via Zoom or Teams is vital. Looking professional on the small screen with an ability to show your work well are skills that can be practiced before an interview. Most architecture employees are currently working online from home, so knowledge of the essential digital architecture programs (like Revit, Bluebeam, Sketchup, et al) is currently very important. On resumes and in portfolios, any experience in the architecture sectors that have remained relatively stable (Housing, Master Planning, Science & Tech, Schools, sustainable infrastructure) should be emphasized. If you have no such experience, read up on current trends in these practice areas online and find some that interest you. Conveying such an interest can go a long way.

What enterprise data architect skills would you recommend for someone trying to advance their career?

Elaine Chow AIA, RA, NCARB

Director of Student Professional Development, Clinical Assistant Professor - Architecture, NCARB Licensing Advisor, SUNY at Buffalo

Architecture licensure will help maximize salary potential, as well as pursuing other certifications such as LEED, CPHC, WELL, etc. Be your own advocate and request regular/annual reviews that allow you to highlight accomplishments and value you bring to your employer. If specialization appeals to you, there are opportunities to market yourself as an expert in a specific subject area.

What type of skills will young enterprise data architects need?

Clyde Eiríkur Hull

Professor of Strategic Management, Rochester Institute of Technology

Graduates entering the workforce now and in the future will need to be comfortable in a digital workplace. Working digitally, whether in an established company or as a digital entrepreneur, was a growing trend before the pandemic, but it was pushing against a lot of inertia. That inertia has switched. Anything that works better, for the employer, digitally instead of in person is going to stay. Even if you aren't working remotely, you'll deal with many people who are. Graduates will need to be more capable of independent work, whether in virtual teams or on their own. But at the same time, interpersonal skills are going to become more important. People aren't interacting as much as they did, so their human skills are rusting. Anyone with polished interpersonal skills is going to stand out more.

What soft skills should all enterprise data architects possess?

Dak Kopec Ph.D.

Associate Professor, Coordinator, BA Interior Architecture and Design and Master of Design Program, University Of Nevada, Las Vegas

Flexibility in thinking and the ability to understand other people's perspectives. Basically, to get along as a team while keeping the negativity to a minimum.

What hard/technical skills are most important for enterprise data architects?

Dak Kopec Ph.D.

Associate Professor, Coordinator, BA Interior Architecture and Design and Master of Design Program, University Of Nevada, Las Vegas

Revit and CAD. Especially as these relate to performative design. What I mean by performative design are technologically feature-rich buildings to respond to atmospheric and environmental conditions that support human occupation and productivity.

Do you want to know more?

List of enterprise data architect skills to add to your resume

The most important skills for an enterprise data architect resume and required skills for an enterprise data architect to have include:

Analytics
Cloud
Python
Data Management
Data Quality
Hadoop
AWS
Data Integration
Azure
Data Lake
Metadata
Infrastructure
Data Governance
Data Standards
Business Processes
SQL Server
Java

Profiling
Enterprise Architecture
ETL
Emerging Technologies
Data Warehouse
Snowflake
Visualization
Master Data
Amazon Web Services
Business Intelligence
SDLC
Tableau
OLTP
Data Analysis
Data Strategy
Data Warehousing
OLAP

Physical Data Models
Database Design
DBA
Sap Hana
MDM
EDW
Lifecycle Management
Reference Data
Ssis
Teradata
Oracle Sql
CRM
Schema
Business Analysts
DB2

Updated January 8, 2025

Zippia Team

Editorial Staff

The Zippia Research Team has spent countless hours reviewing resumes, job postings, and government data to determine what goes into getting a job in each phase of life. Professional writers and data scientists comprise the Zippia Research Team.

Updated January 8, 2025

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