DATA ARCHITECT SKILLS, EXPERIENCE, AND JOB REQUIREMENTS

Published: October 2, 2024 – The Data Architect has proven ability to design and execute modern Enterprise Data Warehouses, with extensive experience in creating data solutions as a data architect or data modeler in complex business environments. The architect's expertise includes producing data deliverables for BI and analytics, utilizing the Microsoft BI Stack, and managing ETL processes from diverse sources to support SQL Server/Azure platforms. Strong analytical and programming skills enable effective leadership in transitioning organizations to cloud-based data environments while supporting IoT and machine learning initiatives.

Essential Hard and Soft Skills for a Standout Data Architect Resume
  • Data Modeling
  • ETL Processes
  • SQL Proficiency
  • Cloud Architecture
  • Database Design
  • Data Warehousing
  • Big Data Technologies
  • Data Governance
  • Data Integration
  • Programming Languages
  • Problem-solving
  • Communication
  • Collaboration
  • Analytical Thinking
  • Adaptability
  • Attention to Detail
  • Project Management
  • Critical Thinking
  • Time Management
  • Leadership

Summary of Data Architect Knowledge and Qualifications on Resume

1. BS in Data Science with 9 years of Experience

  • Experience working with Software design and development
  • Experience with micro-services and large-scale system
  • Experience in both thick-client and web UI interface use paradigms and usability issues and patterns for both
  • Experience with other open-source application servers and open-source development tools
  • Strong knowledge of software implementation best practices and methodologies
  • Software development life-cycle (SDLC) experience
  • Time-sensitive, high transaction-based processing experience
  • Excellent oral and written communication skills and the ability to clearly articulate to project members and stakeholders
  • Team player who works well with technical and non-technical resources
  • Strong interpersonal, organizational, time management and problem-solving skills
  • Knowledge of database design and file management techniques

2. BS in Computer Science with 5 years of Experience

  • Experience working in data architecture, designing and building data assets and products.
  • Experience with vendor management, software evaluation and selection.
  • Detailed knowledge of data warehouse technical architecture concepts, infrastructure components and ELT process.
  • An in-depth understanding of relevant data engineering best practices and display expertise with tools needed to debug and diagnose issues.
  • Ability to thrive in a fast-paced environment, respond quickly to oversight and follow instructions closely, while anticipating needs and developing efficiencies on repeat tasks.
  • Strong sense of project ownership and the ability to manage high project volume effectively.
  • Excellent problem-solving, critical thinking and analytics skills with the ability to work in a cross-functional team.
  • A quick self-motivated learner who can initiate and drive new projects in anticipation of management and client goals and objectives with little or no supervision
  • Self-directed and comfortable supporting the data needs of multiple teams, systems and products.
  • Must be able to adapt to changes in direction and priorities in a project and deadline-oriented environment.

3. BS in Information Technology with 8 years of Experience

  • Data architect experience with a focus on data modeling, data integration, master and metadata management, and analysis
  • Extensive experience in integration of SaaS data/processes from various source systems (Sales, Revenue, CRM, Forecasting, Planning, etc.) into enterprise data foundation
  • Extensive hands-on experience in designing data warehouse models, ELT & ETL processes, and development
  • Advanced SQL, python, API handling and scripting skills and experience in visualization tool such as Tableau
  • Experience with Sales, Finance, Marketing, Employee, and Product data in applications like Salesforce, NetSuite, Clari, Anaplan, Hadoop, etc.
  • Hands-on experience productionalizing ML/AI models
  • Experience building data & business processes using ER Diagrams
  • Experience driving large-scale cloud enterprise data warehouse projects & establishing since source of truth for key entities with a focus on data quality metrics and connectedness of data across foundations
  • Strong experience collaborating with business stakeholders and users in areas of Product, Sales, Operations, Finance, and Marketing to understand, document, and implement data & analytics needs
  • Hands-on experience with industry-standard ETL tools like Matillion, Fivetran, Informatica, etc.
  • Strong experience implementing data governance framework & MDM

4. BS in Software Engineering with 10 years of Experience

  • Working experience architecting enterprise data solutions.
  • Solid expertise in architecting and delivering end-to-end data solutions within an enterprise.
  • Expertise in designing, building and managing Enterprise Data Warehouse and Business Intelligence (BI) platforms.
  • Knowledge of data process modeling for an enterprise and business function-specific data architecture (conceptual, logical & physical) designed for scalability, consistency, integrity, and quality
  • Knowledge of data governance framework that establishes, and develops an Enterprise Data Management (EDM) framework that aligns with the overall enterprise data governance policies.
  • Knowledge of Data visualization tools such as PowerBI, Tableau and Cognos Analytics,
  • Knowledge of technology platforms such as MuleSoft, and IBM DataStage.
  • Knowledge of data management concepts that include structured, unstructured data, batch, and real-time integrations.
  • Knowledge of developing processes that contribute to the improvement of data models that feed business intelligence tools that facilitate increasing data accessibility and fostering data-driven decision-making across the organization.
  • Solid knowledge of general data integration and conversion scripting, programming, and workflow development.
  • Excellent listening, written, and oral communication skills

5. BS in Information Systems with 7 years of Experience

  • Experience working as a Data Modeler and Data Architect
  • Prior experience with CMS, preferably with CCSQ
  • Experience working with Data warehouses and data marts
  • Experience building logical/physical data models using Erwin or similar tools, SQL queries
  • Exposure to Ontology, RDF, Knowledge Graph
  • Development or building prototypes using Python or similar scripting tools including UI
  • Strong teamwork abilities, excellent communication, and customer service skills to support various project teams
  • Exposure to Cloud technologies such as AWS 
  • Education sector expertise
  • Experience working with data and analytics

6. BS in Data Analytics with 11 years of Experience

  • IT consulting/management experience, with demonstrated IT Transformation experience in customer-facing roles.
  • Experience working with large multi-national organizations as the Consulting Services lead, Account and/or Relationship Manager
  • Demonstrated ability to work creatively and analytically in meeting customer needs.
  • A proven track record of managing and delivering large-scale enterprise IT projects for the education industry.
  • Excellent written and verbal communication skills, including group leadership and executive presentations.
  • Managing executive Customer relationships and key business stakeholders.
  • Experience with contract and statement of work development.
  • Knowledge of Enterprise Architecture Frameworks (e.g. TOGAF, Zachman) and identifying the relationships between business services, information, applications and global infrastructure assets.
  • Knowledge of Enterprise IT management frameworks (e.g. COBIT, ITIL).
  • Broad enterprise systems technology experience including IaaS/virtualization technologies, SAP, Oracle, and custom applications.
  • Understanding of designing, building, and operating global IT processes and infrastructures.

7. BS in Computer Engineering with 6 years of Experience

  • Experience in IT platform implementation in a technical role
  • Development and/or DBA experience in Relational Database Management Systems (RDBMS)
  • Hands-on experience in implementation and performance tuning MPP databases (Teradata, Vertica, Netezza, Greenplum)
  • Experience with prioritization of projects that mitigate trade-offs
  • Experience in analyzing Data Warehouses such as Teradata, Netezza, Oracle, etc. or Greenplum, etc.
  • Experience designing database environments, analyzing production deployments, and making recommendations to optimize performance
  • The ability to evaluate and plan migrations to Amazon Redshift
  • One of the AWS Associate level certifications or AWS Certified Cloud Practitioner.
  • Extensive hands-on experience in leading large-scale full-cycle MPP enterprise data warehousing (EDW) projects
  • Extensive hands-on experience in data warehousing design, tuning and ETL/ELT process development

8. BS in Database Management with 12 years of Experience

  • Experience in designing and building high-performance resilient data architectures on Azure Cloud
  • Experience in designing data patterns to support micro-service-based application architecture
  • Experience with Azure cloud infrastructure at scale and architecture designs of the cloud-native ecosystem.
  • Experience with Data as a Service concepts and data virtualization
  • Hands-on experience in DevOps/DataOps/MLOps concepts
  • Experience with designing solutions for managing highly complex business rules within the Azure ecosystem
  • Extensive experience working with Data APIs (Working with RESTful endpoints)
  • The breadth of technical experience and knowledge, with depth/subject matter expertise in the following Data Analytics solutions, SQL including OSS (PostgreSQL, MySQL etc), Azure SQL, Data storage and archive, NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB, ETL including Azure Data Factory, SSIS, Data warehouse including Snowflake, Big Query, Redshift, etc
  • Strong experience using Java/Python/SQL
  • Highly self-motivated and directed
  • Able to prioritize and execute tasks in a high-pressure environment

9. BS in Mathematics with 7 years of Experience

  • Experience in the insurance or financial services industry
  • Snowflake experience (ideally Snowpro core or better), Data Vault 2.0 experience, Confluence or similar experience, Azure Cloud experience
  • Demonstrate experience working in an environment that requires SOX, SOC-2, and other regulations compliance
  • Full understanding of one or more of business areas - Insurance, Reinsurance, and Mortgage Insurance and underlying data
  • Prior experience working closely with multi-disciplined architecture teams
  • Implementation experience for best practices and standards
  • Full SDLC Lifecycle knowledge
  • Modern Data management and architecture skills to manage and process complex data sets across multiple sources
  • Excellent written and verbal communication skills, interpersonal and collaborative skills, and the ability to present technical subjects across a diverse audience
  • Demonstrated capabilities in taking ownership, innovation, problem-solving, influencing, organizing, and relationship building

10. BS in Statistics with 14 years of Experience

  • Experience working as a data architect
  • Experience in the Content Management space.
  • Experience with data sourcing, transformation, reuse, and the relationships between data and content when building experience.
  • Experience in data warehousing or ETL experience developing enterprise data workflows
  • Understand the role of data, domain, and ontology modeling in the building of scalable end-user-facing applications.
  • Understand the role of taxonomy and metadata in a complex omnichannel content distribution ecosystem
  • Technical proficiency with standards-based data engineering tools (SQL, SPARQL, SHACL, OWL, RDF)
  • Experience in AWS, GCP, Azure, or Hadoop and have a passion for learning new technologies in the space.
  • Extraordinary customer-facing skills, and ability to create executive-caliber presentations
  • Experience working with data warehouses such as Redshift, SQL, DW, BigQuery, and Snowflake and understanding of data architecture design
  • Subject area functional knowledge with financial & accounting data (e.g. accounts payable, cashflows, customer, etc.)
  • Proven working experience with data management concepts and activities including an understanding of industry best practices for data modeling, data quality, metadata and data management principles, policies and guidelines

11. BS in Business Intelligence with 5 years of Experience

  • Experience in data governance capabilities, including standardized data vocabularies and related capabilities (business glossaries, data dictionaries, etc.)
  • Experience developing standardized data vocabularies across large organizations and multiple units
  • Experience with data issue identification, analysis, and remediation
  • Working knowledge of complex technology systems, with the ability to effectively communicate with business partners
  • Communicates effectively (both written and oral) to all levels and can deliver difficult/sensitive information tactfully
  • Ability to design and document data architecture and management processes
  • Ability to analyze and document data structures, transformations
  • Excellent communication skills to interact with a range of stakeholders.
  • Ability to plan, track and report the status of the deliverables.
  • Experience with Azure DevOps (ADO) tool for work management

12. BS in Cybersecurity with 13 years of Experience

  • Data Architecture/Data Warehousing experience
  • Experience producing data models to support OLTP and OLAP platforms
  • Experience with common ETL/ELT tools (i.e. Informatica, Talend, etc)
  • Experience with various data source types (RDBMS, XML, JSON, etc.)
  • Strong understanding of dashboarding and reporting tools like Tableau and Cognos
  • Experience with Data Cataloging tools and concepts (e.g. Collibra, Alation, etc.)
  • Strong oral and written communication skills
  • Experience with Cloud-based platforms such as Snowflake and Databricks
  • Experience with Data Federation or Virtualization technologies
  • Experience with common Data Science and Data Analytics use cases and platforms
  • Experience with Semantic and Graph data
  • Knowledge of Design/Modeling tools (IBM Data Architect, etc.)

13. BS in Network Administration with 4 years of Experience

  • Exceptional leadership, time management, facilitation, and organizational skills 
  • Proven successful experience in vendor selection and management for a wide range of technology solutions, budgeting, and monitoring progress through implementation 
  • Strong interpersonal skills and excellent verbal and written communication skills 
  • Proactive, strategic mindset, with a desire to work in a fast-paced environment 
  • Strong analytical and problem-solving skills
  • Ability to communicate across all levels of the organization and work with diverse project teams
  • Ability to relate architectural decisions and recommendations to business needs
  • Experience with a combination of supply chain, order management, point of service, warehouse management, and e-commerce solutions is required 
  • Experience with Salesforce Commerce and Oracle Retail platforms
  • Retail industry working experience
  • Architecture leadership experience in the delivery of omnichannel customer experiences

14. BS in Data Science with 7 years of Experience

  • Experience with increasing responsibilities as a data architect, data scientist, or similar function in a technology organization
  • Senior data architecture experience designing and implementing integrated data platform solutions.
  • Experience in data warehousing, data modeling and/or data analysis
  • Good knowledge of data management, data integration and database development techniques
  • Experience with database technologies (e.g., SQL, NoSQL, Oracle, Hadoop)
  • Experience with ETL and business intelligence tools
  • Experience developing reference architecture, principles and standards
  • Experience with data modeling, data quality tools
  • Ability to analyze various data sets, resolve data relationships, and data troubleshooting, & dissect complex calculations into actionable smaller parts
  • Ability to communicate with both business SMEs and integration developers

15. BS in Computer Science with 8 years of Experience

  • Experience working as a Data Architect
  • Strong experience in normalized relational data modeling
  • Strong experience in analytical data modeling
  • Strong experience in data management within a big data store, both OLTP and OLAP
  • Experience in non-relational databases (NoSQL, time series)
  • Implementation of a successful Data Governance practice
  • Strong communication and teamwork skills
  • Experience in ETL tools, message queues, and other forms of data movement.
  • Extensive experience in data modeling and database design.
  • Ability to navigate and comprehend mapping documents
  • Understanding of CI/CD pipelines, branching strategies, & GIT for code management

16. BS in Information Systems with 5 years of Experience

  • Experience delivering enterprise data solutions and maintaining end-to-end data architectures
  • Experience with logical and physical data modeling
  • Experience working with normalized and dimensional data modeling techniques
  • The ability to work closely with stakeholders to rapidly prototype and iterate to evolve a solution
  • Experience with both On-Prem Microsoft SQL Server and Azure SQL and Data Services platforms
  • Experience working with Power BI 
  • Experience reading and building data models
  • Proficient in working in a fully Agile (SCRUM) environment.
  • Excellent communication and facilitation skills
  • Team-oriented collaboration skills with project leadership abilities

17. BS in Data Analytics with 9 years of Experience

  • Proven ability to create, plan and execute a modern Enterprise Data Warehouse.
  • Direct hands-on experience designing and developing data solutions, particularly in a data architect or data modeler role
  • Experience producing data deliverables for BI or analytics solutions in a data architect, data analyst, or data modeler role, in a large, complex business
  • MSSQL database experience.
  • ETL experience working with data from SQL Servers, Flat Files, JSON-based Web APIs as well as other sources in support of a Microsoft SQL Server/Azure platform.
  • A vision of leading an organization to a cloud-based data warehouse environment.
  • Strong analytical, data, programming and problem-solving skills (C#/SQL/Spark).
  • Demonstrate strength in utilizing Microsoft BI Stack including SSIS, SSAS, and SSRS. 
  • Experience in a manufacturing organization and working on IOT projects or leveraging data from a manufacturing execution system
  • Experience with Azure Analytics Tools including Data Factory, Data Lakes, and SQL Databases
  • Experience supporting IOT and machine learning initiatives
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