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Lead data architect skills for your resume and career

Updated January 8, 2025

5 min read

Quoted experts

Dak Kopec Ph.D.,

Michael Brazley Ph.D.

Below we've compiled a list of the most critical lead data architect skills. We ranked the top skills for lead data architects based on the percentage of resumes they appeared on. For example, 13.5% of lead data architect resumes contained analytics as a skill. Continue reading to find out what skills a lead data architect needs to be successful in the workplace.

15 lead data architect skills for your resume and career

1. Analytics

Here's how lead data architects use analytics:

Lead dedicated Quality Improvement team effort in data collection and management, reporting and analytics.
Supplied architectural support on data repository for Risk Revenue and STARS reporting and analytics.

2. 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 lead data architects use data management:

Transitioned to Data Manager -Support role to initiate multiple process enhancement projects in Data management.
Developed strategy for the centralization of data management for one enterprise across multiple acquired organizations.

3. Java

Java is a widely-known programming language that was invented in 1995 and is owned by Oracle. It is a server-side language that was created to let app developers "write once, run anywhere". It is easy and simple to learn and use and is powerful, fast, and secure. This object-oriented programming language lets the code be reused that automatically lowers the development cost. Java is specially used for android apps, web and application servers, games, database connections, etc. This programming language is closely related to C++ making it easier for the users to switch between the two.

Here's how lead data architects use java:

Developed XML-based database messaging system using SSL between a Java application and a secure web server.
Generate Java Components from XSD.

4. 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 lead data architects use data governance:

Evaluated the Data Governance maturity level within the client organization and scoped the data governance implementation to address data quality.
Introduced data governance and documentation standards by defining standard forms and templates.

5. Data Quality

Here's how lead data architects use data quality:

Provided data quality and migration reports on status of assignments to management and business both on-shore and off-shore
Implemented a Data Quality Metric Scorecard which provided Cardinal Leadership insight into the data cleansing activities.

6. Emerging Technologies

Here's how lead data architects use emerging technologies:

Set technical direction and evaluated emerging technologies to meet long and short-term business objectives.
Analyzed and maintained the CBP Technology Lifecycle (TLC) process that is used to evaluate emerging technologies.

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7. Data Architecture

Here's how lead data architects use data architecture:

Worked with business owners, analysts, solution engineers, development teams and infrastructure services to communicate application and data architectures.
Designed data architecture to support the stabilization of a major Medicare application to develop a regression test bed.

8. Tableau

Here's how lead data architects use tableau:

Created Manpower Compensation dashboards using Tableau Dashboard and prepared user stories to create compelling dashboards to deliver actionable insights.
Evaluated, acquired and implemented Data Visualization technology (Tableau).

9. Visualization

Here's how lead data architects use visualization:

Designed several dashboards leveraging various visualization components (Gauges, Interactive Charts, Alerts, and Scorecard etc.
Assist other data analysts and research scientists with data manipulation, presentations/big data visualization, information tracking, and projects.

10. 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 lead data architects use hadoop:

Exposed plan reports using HADOOP and HAWQ.
Developed complex architecture for heavy data offloading into EDW environment from Hadoop.

11. ETL

Here's how lead data architects use etl:

Conducted modernization effort of legacy ETL, developing an EJB-based data parser to replace legacy mainframe business functionality.
Performed dimensional data modeling using Erwin to support data warehouse design and ETL development.

12. Data Analysis

Here's how lead data architects use data analysis:

Created detailed documentation with extensive data analysis for every procedure to help client better manage their data.
Performed data analysis, modeling and architecture by understanding the specific business and user requirements.

13. Master Data

Master data is the consistent, cohesive identifiers and extended attributes that describe the core entities of a company, including customers, prospects, citizens, vendors, locations, hierarchies, chart of accounts, and the objects around which a business is conducted. Master data enhances and improves data quality and can help eliminate data maintenance across multiple sources. Centralizing all master data enables companies to configure dedicated data governance and compliance processes.

Here's how lead data architects use master data:

Lead the strategy, development, implementation and socialization of audit services specifically designed to focus on master data.
Monitored and measured process / capability teams to drive converted master data testing and validation.

14. BI

Here's how lead data architects use bi:

Designed, developed and implemented platform independent BI and Data Warehousing projects for Mortgage trends and profitability analysis.
Documented BI requirements for non-ECC reporting requirements.

15. Data Lake

Here's how lead data architects use data lake:

Participated Spark and Kafka streaming design for integrating real time feed into data lake, from sources like Cigna websites.
Build the Big Data Infrastructure platform framework using the Data Lake concept.

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What skills help Lead 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 lead data architect resumes?

Dak Kopec Ph.D.

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

Having an area of expertise beyond the common skills that most graduates possess. Many firms are looking for those promotable employees, and these folks often speak with a high degree of intelligence about one or more aspects of design. I see that those with added skills in Health, Education, Sustainability, Technology, etc., often lead those departments in the firm, which becomes their mobility path to executive management. It's all about having something different or better than your competitors.

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

Michael Brazley Ph.D.

Associate Professor of Architecture, Southern Illinois University Carbondale

Architectural Graduates will have to have very strong computer skills; not just in drawing but in writing also. Graduates will need to know the latest software, and in many cases, help to introduce the latest software to their new companies. Students are learning to make 3D digital videos and virtual reality models.

What type of skills will young lead data architects need?

Brian Birgen Ph.D.

Professor of Mathematics, Wartburg College

The ability to use technology is only going to grow in importance. The explosion of online collaboration technology is just the latest example of new technologies, but there is sure to be more innovation and creative ways to streamline processes from manufacturing to design to collaboration. Students need exposure to current technologies but also the ability to learn new technologies as they are developed. Students need programming skills, online collaboration experience and the ability to manage large data sets.

What technical skills for a lead data architect stand out to employers?

Marc Neveu Ph.D.

Architecture Program Head, Arizona State University

Here is a baseline of technical skills, usually related to the software used in the office, but software changes. I was in a conversation recently with Christiana Moss, who is a partner at Studio Ma, and she had a great quote. She needed recent graduates "who could be useful." This meant being able to think on their own, to ask questions, and to be able to take on a project without the need to be told how to do everything. We don't expect graduates to know everything they need to know to build a building, but they should be aware of what they don't know and be able to ask good questions, work collaboratively, and also independently.

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

Randall Randall

Program Head Architecture, Professor, University of Idaho

Adept with hand-drawing, model making, CAD, and graphics software (photoshop, illustrator). Experience with some kind of hands-on-making/construction is a plus.

Do you want to know more?

List of lead data architect skills to add to your resume

The most important skills for a lead data architect resume and required skills for a lead data architect to have include:

Analytics
Data Management
Java
Data Governance
Data Quality
Emerging Technologies
Data Architecture
Tableau
Visualization
Hadoop
ETL
Data Analysis
Master Data
BI
Data Lake
SQL Server

Metadata
Azure
Power Bi
Data Warehouse
Data Conversion
Data Integrity
Ssis
Data Warehousing
Data Migration
SAP Data
Business Rules
Cloud Computing
CRM
Informatica
Amazon Web Services
Strong Analytical

ERP
HR
Prototyping
Business Process
Teradata
Virtualization
Database Design
Legacy Systems
HDFS
Profiling
PL/SQL
DB
MDM
Linux
Extraction
Calculation

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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