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Senior data architect skills for your resume and career

Updated January 8, 2025
3 min read
Quoted experts
Dak Kopec Ph.D.,
Dak Kopec Ph.D.
Senior data architect example skills
Below we've compiled a list of the most critical senior data architect skills. We ranked the top skills for senior data architects based on the percentage of resumes they appeared on. For example, 10.4% of senior data architect resumes contained analytics as a skill. Continue reading to find out what skills a senior data architect needs to be successful in the workplace.

15 senior data architect skills for your resume and career

1. Analytics

Here's how senior data architects use analytics:
  • Participated in numerous communities of practice groups including development, data architecture, business intelligence and analytics, and project management.
  • Applied my experience to support global digital wallet data product development, business Analytics and Data management in an agile environment.

2. Data Lake

Here's how senior data architects use data lake:
  • Unified data lake architecture integrating various data sources on Hadoop architecture.
  • Designed and implemented a Data Lake to consolidate data from multiple sources, using Hadoop stack technologies like SQOOP, HIVE/HQL.

3. AWS

Here's how senior data architects use aws:
  • Defined and deployed monitoring, metrics, and logging systems on AWS.
  • Worked with cloud services like Amazon web services (AWS).

4. 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 senior data architects use python:
  • Implemented Python scripts to import/export JSON file, which contains the customer survey information and/or asset information, to/from the database.
  • Worked with Python OO Design code for manufacturing quality, monitoring, logging, and debugging code.

5. 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 senior data architects use hadoop:
  • Installed and made operational HADOOP's PDCR tool for Performance Data Collection & Reporting.
  • Designed the distributed data store with parallel processing frameworks and patterns that significantly improves performance of the Hadoop database.

6. 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 senior data architects use java:
  • Developed a dividend forecasting system and rule-compiler in Java.
  • Audited various development programs (developed in J2EE, Java Platform EE 5) for enterprise compliance.

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7. NoSQL

Here's how senior data architects use nosql:
  • Loaded JSON-Styled documents in NoSQL database like MongoDB and deployed the data in cloud storage service, Amazon Redshift.
  • Implement enterprise grade platform(mark logic) for ETL from mainframe to NOSQL(cassandra).

8. Cloud Computing

Here's how senior data architects use cloud computing:
  • Design, Build, implementation, & requirement analysis for Data Centers / Cloud Computing / Cloud / End User Platforms.
  • Evaluate the use of COATS cloud computing solutions which would meet both DOD and civilian security requirements.

9. Amazon Web Services

Here's how senior data architects use amazon web services:
  • Developed a new centralized reporting structure from the group up using Amazon Web Services.
  • Evaluated Amazon Web Services (AWS) and cloud based, virtual servers at Charter s technology lab.

10. Data Warehousing

Here's how senior data architects use data warehousing:
  • Developed enterprise data warehousing system to support OLAP reporting and enterprise business intelligence including data mining.
  • Designed and co-implemented data warehousing process, improving availability of production performance data for key decision-makers.

11. ETL

Here's how senior data architects use etl:
  • Conceptualized and implemented COE to promote consistency and efficiency during development of Reports and ETL design.
  • Provided business and functional rule transformation for ETL from relational to dimensional database designs.

12. Data Quality

Here's how senior data architects use data quality:
  • Work with cross-functional stakeholders across the various business and technical teams to develop and execute effective data quality processes and procedures.
  • Translated Data Acquisition and Data Quality business requirements to technical solutions utilizing Oracle Enterprise Data Quality and Oracle Application Express.

13. BI

Here's how senior data architects use bi:
  • Redesign Database Servers and data flow processes for BI Applications to improve performance and support the business requirements with data accuracy.
  • Lead the team to develop gap analysis document by comparing global and silo SAP BI system from technology and functional perspective.

14. Emerging Technologies

Here's how senior data architects use emerging technologies:
  • Analyzed and maintained the CBP Technology Lifecycle (TLC) process that is used to evaluate emerging technologies.

15. Data Warehouse

Data warehouse, often abbreviated as either DW or DWH is a system used in computing for data analysis as well reporting. The DW is also considered to be an integral component of business intelligence as they also provide storage facilities for both real-time and historical data. ETL and ELT are the two driving forces behind a data warehouse system.

Here's how senior data architects use data warehouse:
  • Ensured standardization and streamlined processes by defining formal standards and a design methodology for the Division of Taxation data warehouse group.
  • Developed a consolidated logical and physical data model for financial services data warehouse and authored data architect document
top-skills

What skills help Senior 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 senior 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 soft skills should all senior 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 senior 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.

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

Saquib Ahmed Ph.D.

Assistant Professor, Engineering Technology, SUNY Buffalo State

A combination of fundamental scientific understanding married with data science knowledge (machine learning, neural networks, etc.); it is crucial to juxtapose these against the backdrop of industrial landscape, as well as state & federal policies.

What type of skills will young senior data architects need?

Dr. Pratim Datta Ph.D.

Professor of Information Systems, Kent State University

I am thinking and problem-solving. I find young people often shy or scared to think hard. It does not work when a person (student) wants a one-size-fits-all solution to all problems. They have to have the guts to think and take risks, and risk-taking is rare these days, as is thinking. No technical skills matter if a person cannot or will not believe it.

Next is collaboration. No one works alone (except maybe artists, writers, etc., but they have agents, so even they do not work alone. In business, everyone works in teams, so all graduates must know how to work with others. That means good communication skills, and that means being straight-forward and entirely honest with all peers. If people cannot contribute to a team, they have no future in business.

Next is self-learning. Graduates must be interested on their own, without a mentor or teacher telling them what to consider next. The rate of technological change is so fast that waiting to be told what to do next is a non-starter. No textbook can be written fast enough to relate to new trends. Successful young people learn what is being developed and master it independently with assistance from no one. No one can hide, and the business expects high-performance from everyone.

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

Marc Neveu Ph.D.Marc Neveu Ph.D. LinkedIn profile

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.

List of senior data architect skills to add to your resume

Senior data architect skills

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

  • Analytics
  • Data Lake
  • AWS
  • Python
  • Hadoop
  • Java
  • NoSQL
  • Cloud Computing
  • Amazon Web Services
  • Data Warehousing
  • ETL
  • Data Quality
  • BI
  • Emerging Technologies
  • Data Warehouse
  • SQL Server
  • Power Bi
  • Data Integration
  • Data Governance
  • Visualization
  • Metadata
  • Data Analysis
  • Azure
  • Tableau
  • Scala
  • Oracle Sql
  • HBase
  • RDBMS
  • Profiling
  • Virtualization
  • Data Flow
  • Apache Spark
  • Informatica
  • Data Structures
  • Linux
  • Prototyping
  • Teradata
  • Schema
  • Database Design
  • Enterprise Architecture
  • Physical Data Models
  • Sqoop
  • Data Architects
  • Er Studio

Updated January 8, 2025

Zippia Research Team
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.

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