INFORMATION ARCHITECT SKILLS, EXPERIENCES, AND JOB REQUIREMENTS

Published: Aug 26, 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
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