INFORMATION ARCHITECT SKILLS, EXPERIENCES, AND JOB REQUIREMENTS
Reviewed under Editorial Standards by Lam Nguyen

Updated: Oct 22, 2025 - The Information Architect designs data models and manages integration platforms using industry-standard frameworks. This role requires experience with big data, Azure cloud, and enterprise tools in the financial and energy domains. The architect also emphasizes problem-solving, vendor coordination, and effective collaboration in fast-paced environments.

Essential Hard and Soft Skills for an Information Architect Resume
  • Data Modeling
  • Architecture Design
  • Information Analysis
  • Wireframe Design
  • Data Governance
  • Metadata Strategy
  • UX Evaluation
  • Tool Evaluation
  • Taxonomy Management
  • Content Strategy
  • Stakeholder Collaboration
  • Strategic Planning
  • Team Leadership
  • Problem Solving
  • Agile Delivery
  • Communication
  • Requirement Gathering
  • Vision Presentation
  • Project Oversight
  • Cross-Team Coordination

Summary of Information Architect Knowledge and Qualifications on Resume

1. BS in Computer Science with 7 years of Experience

  • Expertise in UML/Class Modeling
  • Knowledge of Entity Relationship Modeling
  • Experience of working with UML modeling tools, e.g., MagicDraw, Sparx Enterprise Architect, IBM Rational, etc. 
  • Experience of working with ER modeling tools, e.g., ERwin, PowerDesigner, etc.
  • Must have Data serialization experience (Protocol Buffers, Avro, XML, JSON, etc.)
  • Strong background in business data modeling in investment banking (ideally securities-related post-trade functions), fund management, or retail/commercial banking
  • Familiarity with industry formats, e.g., FpML, FIX, SWIFT, ISO, COTS, Golden Source, Teradata FSDM/FSLDM, etc.) 
  • Experience solely in relational modeling or ETL
  • Understanding of the key data and information needs within the domain, as well as the logical and physical architecture of data solutions
  • Ability to maintain a sufficiently deep knowledge of business areas, processes, data context and solutions and technology to provide architectural leadership and direction for the domain
  • Ability to win the trust, confidence, and commitment of senior business and IT stakeholders and to lead their thinking
  • Ability to pragmatically balance the demands of delivery projects with the need to maintain the integrity of the target architecture
  • Ability to use considered judgment to make clear decisions in complex situations
  • Ability to delegate delivery responsibilities while retaining oversight and accountability
  • Ability to effectively balance strategy and vision activity with the operational and service demand

2. BA in Human-Computer Interaction with 9 years of Experience

  • Experience as a software architect and/or system engineer with relevant certifications and deep knowledge of modeling
  • Must be fluent in English, both verbal and written
  • Knowledge in BI tools, SAP, Oracle, or MS Dynamics
  • Ability to carry out core accountabilities with minimal level of supervision for complex tasks and no supervision for more routine matters
  • Deep understanding of the principles and practice of information architecture
  • Deep understanding of the domain and relevant technology and standards
  • Good understanding of the range of disciplines within IT, including project management, application development and project delivery
  • Competitor awareness and innovative capability to drive business improvement based on an understanding of market trends
  • Familiarity with Analytics Lifecycle
  • Ability to translate a bigger picture into detail and to translate technical speech into business language
  • Ability to move easily between physical, logical and conceptual data layers while designing solutions
  • Able to communicate with stakeholders at all levels
  • Ability to work directly with clients and stakeholders, conduct interviews, and lead workshops to gather the business/user inputs

3. BS in Software Engineering with 6 years of Experience

  • Broad understanding of data management capabilities including data architecture, modelling and design, reference and master data management, metadata management and business intelligence/data science
  • Excellent communication skills with the ability to communicate complex issues in an easy-to-understand manner and to translate business language into technical information and vice versa
  • Must have strong influencing skills
  • Demonstrable ability to understand complex business data
  • Experience of working in an agile environment
  • Proficient in data management concepts, practices and procedures
  • Knowledge of data governance, modelling techniques
  • Solid understanding and practical experience of real-world data modelling
  • Knowledge of SQL and NoSQL technologies
  • Working knowledge of modern software development approaches
  • Knowledge of data virtualization technologies

4. BS in Information Systems with 7 years of Experience

  • Direct support and design experience in SAP enterprise system infrastructure and application components, minimally SAP ECC, SAP BASIS, HANA, SAP Netweaver, Fiori and UI5
  • Experience in other SAP technologies 
  • Strong fundamentals of enterprise-class database management
  • Exposure to multiple, diverse business systems, technologies, and processing environments
  • Experience with ERP, Sales, Service, Marketing, and Warehousing systems
  • Knowledge of all aspects of enterprise information architecture
  • Excellent interpersonal skills in areas such as teamwork, facilitation, and negotiation
  • Excellent planning, facilitation, and organizational skills
  • Strong written and verbal communication skills
  • Ability to understand the long-term (""big picture"") and short-term perspectives of situations
  • Ability to translate business needs into solution architecture requirements
  • Ability to estimate the financial impact of individual solution architecture alternatives
  • Ability to define multiple solution options to business problems

5. BA in Information Science with 5 years of Experience

  • Effectively collaborate with teams of data modelers and/or information architects
  • Good understanding of various data integration/interoperability paradigms such as domain-driven, data mesh, data fabric
  • Experience with all artefacts of modelling information in an enterprise (business process diagrams, ER conceptual/logical/physical models) and associated software tools
  • Strong experience in Agile and DevOps
  • Experience defining information standards for source systems and reporting
  • Experience in the design and architecture of BI and analytics environments, including data fabric or similar architecture
  • Previous successful experience leading the design of Data Management solutions (e.g., MDM, RDM, DQ, Data Catalog, Data Integration etc) in a similar-sized organization
  • Good understanding of Big Data technologies, traditional and modern data virtualization and data integration/streaming technologies
  • Must have certification in data and information management (CDMP or similar)

6. BS in Information Technology with 8 years of Experience

  • Basic knowledge of information principles and policies
  • Understanding of application development methodologies
  • Understanding of SOA, object-oriented analysis and design, or client/server systems, enterprise rich internet applications, B2B, B2C
  • Demonstrated project leadership on highly complex, technical projects
  • Prior working experience in consulting 
  • Ability to develop processes and methodologies and follow through to ensure adoption
  • Ability to effectively prioritize and execute tasks in a high-pressure environment
  • Strong interpersonal and oral communication skills
  • Skilled at working within a team-oriented, collaborative environment
  • Strong consulting and business systems analysis, process and data analysis skills
  • Strong abstraction, organization and simplification skills
  • Ability to problem solve, prototype, experiment and simulate
  • Ability to set content and vision
  • Ability to listen, network and influence
  • Ability to lead through influence
  • Ability to build and motivate teams
  • Ability to mentor technical resources
  • Highly self-motivated and self-directed

7. BA in Cognitive Science with 6 years of Experience

  • Background in information architecture frameworks and information models
  • Excellent planning and organizational skills
  • Strong knowledge in enterprise information solutions, such as master data management, metadata management, business intelligence, data interoperability, analytics, and data integration
  • Experience in defining data used/created, data standards, information models, and information flows for manufacturing and supply chain within Cell and Gene Therapy 
  • Experience in Agile (e.g., Scrum or SAFe)
  • Able to drive the increase in maturity and knowledge of information-related topics across the organization through education and mentoring
  • Information Technology experience with data-centric functions
  • Experience designing, implementing and supporting data and analytics tools in cloud environments
  • Working knowledge of Microsoft Power BI or comparable business intelligence tools

8. BS in Computer Engineering with 10 years of Experience

  • Expertise in application, data, and infrastructure architecture disciplines
  • Experience with Domain Driven Design (DDD) methodology
  • Fluency in designing information architectures for system interoperability in cloud environments
  • Experience working with product owners and subject matter experts to design products and model them in class diagrams to extend a common foundational framework
  • Demonstrable success in defining and implementing multiple enterprise-grade Data Models
  • Must be able to show experience in modelling data management and/or other architectural metadata
  • Significant hands-on experience with business information modeling or a UML modeling tool
  • Ability to create abstraction and generalization of solutions into design patterns
  • Strong experience in several major technology implementation projects in roles spanning design, data sourcing, data management, implementation, and refactoring 
  • Deep familiarity with various types of relational DBMS and non-relational DBMS
  • Excellent command of the SQL language
  • Knowledge of a variety of data architecture patterns including ODS, Data Lake, Data Warehousing, OLTP, Data Vault and OLAP
  • Experience in risk control and compliance
  • Experience with DEVSECOPS technologies and practices
  • Construction of Domain Specific Languages and mapping into Target Specific Languages
  • Experience with logical data modeling using common industry tools
  • Must have TOGAF and/or DAMA certification 
  • Proficient in Python or Java

9. BA in Communication Studies with 4 years of Experience

  • Experience as a software engineer or architect working in a large enterprise environment, working to automate and innovate technology
  • Expertise in application, data, and infrastructure architecture disciplines
  • Fluency in architecture and design across all systems
  • Hands-on experience in building prototypes or full products in cloud or container-based environments
  • Experience with Design Pattern-type approaches to development
  • Experience with one or more public cloud service and their respective security principles, specifically AWS, Google Cloud Platform (GCP) or Azure
  • Knowledge of container platforms, specifically Kubernetes, Docker or Podman
  • Experience building and evangelizing architectural frameworks utilizing APIs for general-purpose adoption

10. BS in Cybersecurity with 7 years of Experience

  • Experience writing IT requirements and designs in a complex work environment within a structured software development methodology
  • Proficiency in documenting Use Cases, Requirements, Activity Diagrams and Sequence Diagrams in a technical environment
  • Experience conducting JAD/RAD/AGILE /Waterfall scrum sessions
  • Understanding of SOA and experience writing requirements in a SOA environment, robust analytical skills
  • Critical thinking and problem-solving skills
  • Advanced proficiency with the use of Microsoft Office applications including Word, MS Project, Excel and Visio, and other tools that facilitate the requirements gathering and design phases of the SDLC
  • Ability to work and deliver under the pressure of deadlines and commitments to the customer
  • Demonstrates professionalism in all areas of work
  • Proficient at time management and meeting deadlines, and flexible with changing priorities
  • Experience in cable and/or telecommunications
  • Experience writing code as a software developer

11. BA in Human-Computer Interaction with 9 years of Experience

  • Understanding of the business domain, data/content, and process
  • Experience designing and implementing information solutions
  • Experience with system integration, including interface design and web-oriented architecture techniques
  • Experience with enterprise-level data modeling and information classification
  • Experience with common information architecture frameworks and information models
  • Understanding of metamodels, taxonomies, and ontologies, and of the challenges of applying structured techniques (data modeling) to less-structured sources
  • Experience with distributed management and analytics in cloud and hybrid environments
  • Knowledge of a variety of data access and analytics approaches (for example, microservices and event-based architectures)
  • Familiarity with data science concepts, as well as MDM, business intelligence, and data warehouse design and implementation techniques
  • Experience with Apache Spark and Python
  • Experience with Microsoft Azure
  • Experience with Kafka, Schema Registry and Kafka Streaming and/or Spark Streaming
  • Experience with the data stream concept
  • Knowledge of problem analysis, structured analysis and design, and programming techniques
  • Experience building solutions in data analytics such as MDM, ETL, business intelligence, data warehouse and data lake and/or data warehouse
  • Understanding of data science concepts and toolsets such as TensorFlow, H2O.ai, Mahout or DataRobot

12. BS in Geographic Information Science with 6 years of Experience

  • Experience in the information management field
  • Experience directly managing data and information architecture
  • Possess skills and experience with large-scale database platforms including big data on public cloud, relational, and No-SQL
  • Experience in creating and reviewing Architecture and Development artifacts such as Conceptual, Logical, and Physical Data Models
  • Hands-on data modeling skills utilizing tools such as Erwin
  • Knowledge of core Information Architecture capabilities including Master and Reference Data Management, Data Quality (DQ), Metadata Management, Data Taxonomy, Data Integration, Data Migration, and Data Modeling
  • Ability to collaborate with business teams to understand, translate and capture the requirements into Taxonomies, Strategies/Roadmaps, Conceptual and Logical Data Models
  • Strong communication and writing skills, ability to conduct workshops, and facilitate interviews with Subject Matter Experts to capture and document business requirements
  • Ability to translate business rules into system requirements and data models
  • Hands-on experience using SQL/NO-SQL Databases including Oracle, Cassandra, MongoDB, Hadoop and cloud-based data solutions
  • Experience in defining and implementing data transformation logic
  • Ability to work independently and own deliverables from inception to delivery

13. BA in Knowledge Management with 7 years of Experience

  • Ability to build strong relationships with developers and stakeholders to ensure successful project/program delivery
  • Experience in working as part of a distributed global development team, responsible for the design, implementation, delivery and support of a global application spanning multiple time zones
  • Experience in supporting continuous application development and data design following an Agile development methodology
  • Experience with solutions over the full data lifecycle including data capture, quality, security, archiving, and records retention
  • Understanding of major architectural concepts such as Event Driven Architecture, Microservices Architecture, and Domain Driven Design
  • Strong exposure to Data Management, Governance, and Controls with a proven track record of defining and implementing
  • Ability to turn strategies into roadmaps with discrete milestones to drive and track adoption and implementation
  • Experience with ETL and ETL tools such as AbInitio, Informatica, or Talend
  • Experience and understanding of data technologies and patterns for cloud environments including both public and private cloud deployments
  • Knowledge and understanding of reporting and data applications, including SAP
  • Deep knowledge of Finance information and data (structures, data flows, data sources)
  • Excellent networking, collaboration and communication skills
  • Proven track record of delivery and ability to effectively prioritise to ensure goals and outcomes are achieved
  • Analytical and problem-solving skills with an ability to get to the root cause
  • Qualified Finance professional, e.g., ACA / ACCA or CIMA

14. BS in Interactive Media with 3 years of Experience

  • Strong data modeling skills, including the ability to incrementally model in increasing detail from conceptual models to logical models to physical models
  • Experienced in the development of cross-domain and enterprise-level data models, spanning several applications
  • Experienced in the use of formal data modeling tools, such as ERWin, or Enterprise Architecture tools, such as MagicDraw
  • Experience managing and using data dictionaries, metadata and/or data lineage/provenance systems
  • Broad knowledge of finance domains
  • Ability to produce high-quality results in an evolving, fast-paced environment
  • Knowledge of traditional big data systems, such as Cassandra, Hadoop
  • Strong data warehousing and database engineering skills, e.g, SQL

15. BS in Artificial Intelligence with 5 years of Experience

  • Experience in developing business processes and information architecture to include in direct people management of technical resources
  • Hands-on experience with a business process and information architecture tool
  • Strong experience with one or more information architecture frameworks and information models
  • Expertise with enterprise-level data modeling and information classification
  • Good understanding of taxonomies and ontologies
  • Must have an extremely high level of attention to detail when analyzing business processes and information exchange details, while not losing sight of the bigger strategic view
  • Ability to hire the right talent, develop and motivate employees in a fast-paced, integrated team environment
  • Proven track record of delivering results on time within scope, budget and quality
  • Technical and business acumen to interface with all levels and disciplines within the organization
  • Sound knowledge of data platform, data warehouse, ETL concepts, semantic models and data virtualization
  • Strong oral and written communication skills for collaboration with diverse, cross-functional teams

16. BS in Software Engineering with 6 years of Experience

  • Working experience in Data Modeling, SQL, and ETL
  • Working experience in shell scripting in support of database environments
  • Demonstrated knowledge of the installation and operation of Db2 pureScale
  • Strong verbal, written, and presentation skills
  • Expertise in the business analyst’s role
  • Expertise in Database development lifecycle and coding
  • Managing VLDB environments, Data Warehouses, and high-volume data rate applications
  • Working knowledge of Virtualized, Clustered, and Cloud Solutions
  • Working knowledge of Nagios dashboard alert systems or similar solutions
  • Working knowledge of Spectrum Protect or similar solutions
  • Working knowledge of systems like Jira and Service Now
  • Experience with object-oriented programming languages

17. BA in Information Science with 5 years of Experience

  • Hands-on experience in a similar role delivering cloud native and hybrid data solutions in Azure
  • Knowledge of Azure Data Factory, Azure Data Lake, Azure SQL Database, Azure Databricks, and Power BI
  • Good knowledge of Spark, Azure Cosmos DB (or other NoSQL databases), Neo4j (or other graph databases), Azure Event Hubs (or other streaming platforms like Kafka)
  • Excellent organizational and analytical abilities
  • Good written and verbal communication skills
  • Knowledge of emerging technologies to enable data professionals to use advanced data analytics
  • Experience as an information architect and/or technical writer
  • Ability to understand organizational issues and work to create strategies that are a fit with Affirm’s unique strengths and challenges
  • Must have project management skills
  • Ability to own and drive new initiatives without detailed direction

18. BS in Information Technology with 8 years of Experience

  • Proven experience in data implications of cloud, hybrid, and hosted data storage solutions, including security, access, and performance
  • Data modeling and information classification expertise at the enterprise level
  • Understanding of common information architecture frameworks and healthcare information models
  • Practical experience with metadata management, data quality, and master data management in a large healthcare enterprise and the associated challenges
  • Practical experience with structural and semantic metadata, healthcare terminology management and the challenges of applying those techniques in a large healthcare environment
  • Familiarity with data science concepts, business intelligence, and data warehouse design and implementation techniques
  • Demonstrate the ability to work well with others and exhibit leadership
  • Proven track record of remaining unbiased toward specific technologies or vendors
  • Able to be an excellent communicator and collaborator, engaging with multiple technical and business stakeholders and leaders
  • Able to translate the information architecture contribution to business outcomes into simple briefings for use by various data-and-analytics-related roles
  • Organizationally savvy, with a good understanding of the enterprise's political climate and how to navigate, influence and persuade political waters
  • Able to work with matrixed and cross-functional teams to build new data platforms, solve for their data needs, and provide thought leadership

19. BA in Human-Computer Interaction with 9 years of Experience

  • Experience developing analytics information architectures and supporting modern visualizations and or modeling capabilities
  • Ability to understand the strategic needs of clients and relate potential strategies internally and externally
  • Experience writing ETLs either using an IDE or using code, using data quality and profiling tools, and an expert knowledge of relational databases (SQL Server)
  • Working knowledge of AWS infrastructure and products such as Python and Matillion (or related ETL products) and RedShift (working knowledge of MongoDB)
  • Knowledge of dimensional data architecture concepts
  • Strong verbal and written communication skills
  • Experience across value streams such as Procure to Pay and/or experience with Program Management / Finance / Contracts ERP digital threads
  • Experience with data and information architecture in an ERP environment
  • Understanding of systems engineering and systems architecture practices
  • Experience with business process architecture and business process transformation
  • Experience harmonizing systems, processes, and/or data across multiple business areas and functions
  • Experience with data governance standards and practices
  • Experience with Project Management and/or project coordination
  • Proven stakeholder engagement experience
  • Experience building and communicating technical and functional roadmaps

20. BA in Technical Communication with 5 years of Experience

  • Proven project management or project coordination experience with cross-functional teams and stakeholders
  • Experience with defining and implementing data and information architecture in an SAP environment
  • Proven data or analytics experience with Enterprise Resource Planning (ERP) across functional domains, such as Engineering, Finance, and Supply Chain
  • Knowledge of frameworks and standards such as Department of Defense Architecture Framework (DoDAF), Open Applications Group Integration Specification (OAGIS), APQC process classification frameworks (PCF), HR Open Standards, etc.
  • Understanding of Master Data Management (MDM) techniques and platforms
  • Experience with Extract, Transfer, and Load (ETL) and Data Engineering
  • Experience with data tools/platforms, such as Tableau, Alteryx, SAP Master Data Governance (MDG), SAP Information Steward, SAP HANA, SAP Data Services, Tibco Data Virtualization, etc.
  • Experience with data catalog and business glossary platforms
  • Experience with System of Systems (SoS) architecture

21. BS in Applied Computing with 6 years of Experience

  • Ability to communicate, influence and persuade peers and leadership
  • Ability to quickly comprehend the functions and capabilities of new technologies
  • Display intellectual curiosity and integrity
  • Advanced expertise in one or more of the following: TOGAF ADM cycle, Business modeling, data design, information systems design, systems integration, and service design
  • Advanced oral and written communication, organization, problem-solving, facilitation, and meeting management skills
  • Advanced expertise in multiple technologies
  • Advanced project and deliverable consistency through repeatable and reliable performance
  • Advanced initiative and self-motivation to complete tasks and assignments on time
  • Experience working in healthcare technology
  • Must be able to work independently and be able to lead and mentor in a team environment

22. BA in UX Design with 11 years of Experience

  • Ability to work and model data on a conceptual, logical, and physical level 
  • Able to develop and implement methodologies to work with data in different contexts 
  • Ability to collaborate in an informal and highly energetic environment 
  • Experience working with analytics and big data 
  • Previously worked with digitalization and automation 
  • Domain knowledge from energy trading 
  • Previous experience working with software developers on cloud solutions and development platforms 
  • Experience with Azure cloud 
  • Previous work experience within large, centralized information technology departments, ideally in the financial services industry
  • Ability to design and develop canonical data interfaces (real-time and batch), use of banking and finance industry models like FIBO, IFW, and Teradata to model enterprise integration hubs
  • Experience with managing data integration platforms, enterprise Data Warehouses
  • Must have a strong command of broad and general technical concepts
  • Must be a very strong problem solver and apply strong critical analysis to business scenarios in the context of data architecture
  • Experience in managing and working with consulting vendors/service providers during the delivery of technology projects
  • Must possess and demonstrate excellent time management skills
  • Ability to achieve results in a very deadline-driven environment, and must be focused on quality and delivering on commitments
  • Experience with software tools that support enterprise configuration management
  • Team player, strong collaborative approach, with the ability to work independently
Editorial Process

Lamwork content is developed through structured review of publicly available job postings and documented hiring trends.

Editorial operations are managed by Thanh Huyen, Managing Editor, with research direction and final oversight by Lam Nguyen, Founder & Editorial Lead. Content is periodically reviewed to reflect observable labor market changes.

Relevant Information
Information Analyst Skills, Experiences, and Job Requirements
Information Manager Skills, Experiences, and Job Requirements
Information Designer Skills, Experiences, and Job Requirements
Information Specialist Skills, Experience, and Job Requirements